Example_Heatmap_GenTrack_with_DDXTAF_change.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
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       "require([\"codemirror/keymap/sublime\", \"notebook/js/cell\", \"base/js/namespace\"],\n",
       "    function(sublime_keymap, cell, IPython) {\n",
       "        cell.Cell.options_default.cm_config.keyMap = 'sublime';\n",
       "    \n",
       "        var cells = IPython.notebook.get_cells();\n",
       "        for(var cl=0; cl< cells.length ; cl++){\n",
       "            cells[cl].code_mirror.setOption('keyMap', 'sublime');\n",
       "        }\n",
       "    }\n",
       ");\n"
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       "<IPython.core.display.Javascript object>"
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   "source": [
    "%%javascript\n",
    "require([\"codemirror/keymap/sublime\", \"notebook/js/cell\", \"base/js/namespace\"],\n",
    "    function(sublime_keymap, cell, IPython) {\n",
    "        cell.Cell.options_default.cm_config.keyMap = 'sublime';\n",
    "    \n",
    "        var cells = IPython.notebook.get_cells();\n",
    "        for(var cl=0; cl< cells.length ; cl++){\n",
    "            cells[cl].code_mirror.setOption('keyMap', 'sublime');\n",
    "        }\n",
    "    }\n",
    ");"
   ]
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  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_30115/3631382287.py:2: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n",
      "  from IPython.core.display import display, HTML\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>.container { width: 90% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# change the cell width\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width: 90% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import os\n",
    "import cooler\n",
    "import cooltools\n",
    "import numpy as np\n",
    "from cooltools.api import eigdecomp\n",
    "import bioframe\n",
    "from pathlib import Path\n",
    "import multiprocess as mp\n",
    "\n",
    "from copy import copy\n",
    "\n",
    "%matplotlib inline\n",
    "%config InlineBackend.print_figure_kwargs={'facecolor' : \"w\"}\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LogNorm\n",
    "import matplotlib\n",
    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "matplotlib.rcParams['pdf.fonttype'] = 42\n",
    "matplotlib.rcParams['ps.fonttype'] = 42\n",
    "from supp_lib import *\n",
    "# import all samples as dictionary ...\n",
    "from samples import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### some of the input cooler files that we used to combine/recombine/subset etc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "ins_samples = {\n",
    "    \"Hap1-WT-combined.hg19\" : \"Hap1-WT-combined.mcool\",\n",
    "    \"PolII-IAA.hg19\" : \"PolII-IAA.hg19.mapq_30.1000.mcool\",\n",
    "    \"PolII-NT.hg19\" : \"PolII-NT.hg19.mapq_30.1000.mcool\",\n",
    "    \"all_CTCF_combined.hg19\" : \"all_combined.mcool\",\n",
    "    \"noCTCF_IAA_combined.hg19\" : \"noCTCF_IAA_combined.mcool\",\n",
    "    \n",
    "    \"all_CTCF_combined.hg19\" : \"all_combined.mcool\",\n",
    "    \"noCTCF_IAA_combined.hg19\" : \"noCTCF_IAA_combined.mcool\",\n",
    "    \n",
    "    \"CkoCT442_NT_pool.hg19\" : \"CkoCT442-NT-pool.mcool\",\n",
    "    \"CkoCT442_IAA_pool.hg19\" : \"CkoCT442-IAA-pool.mcool\",\n",
    "    # RAD21 degron for HCT from Rao et al 2017 ...\n",
    "    \"RAD21-IAA.hg19\" : \"RAD21-AID-IAA-6H.hg19.mapq_30.1000.mcool\",\n",
    "    \"RAD21-NT.hg19\" : \"RAD21-AID-NT.hg19.mapq_30.1000.mcool\",\n",
    "\n",
    "    # WAPL KO for HAP1 from Haarhuis 2017 ...\n",
    "    \"WAPL-KO1.hg19\" : \"Haarthuis-WAPL-KO1.14.hg19.mapq_30.1000.mcool\",\n",
    "    \"WAPL-KO3.hg19\" : \"Haarthuis-WAPL-KO3.3.hg19.mapq_30.1000.mcool\",\n",
    "    \"WAPL-WT.hg19\" : \"Haarthuis-HAP1-WT.hg19.mapq_30.1000.mcool\",\n",
    "\n",
    "    \"CkoC442-IAA48H-R1-T1.hg19\" : \"CkoC442-IAA48H-R1-T1__hg19.hg19.mapq_30.1000.mcool\",\n",
    "    \"CkoC442-NT-R1-T1.hg19\" : \"./wt_like_coolers_to_combine/CkoC442-NT-R1-T1__hg19.hg19.mapq_30.1000.mcool\",\n",
    "    \"CkoCT442-AAVS1sg2-4-NT-R1-T1.hg19\" : \"CkoCT442-AAVS1sg2-4-NT-R1-T1__hg19.hg19.mapq_30.1000.mcool\",\n",
    "    \"CkoCT442-DDX55sg2-B-NT-R1-T1.hg19\" : \"CkoCT442-DDX55sg2-B-NT-R1-T1__hg19.hg19.mapq_30.1000.mcool\",\n",
    "    \"G1-NT.hg19\" : \"G1-NT.hg19.1kb.mcool\",\n",
    "    \"G1-IAA.hg19\" : \"G1-IAA.hg19.1kb.mcool\",\n",
    "    \n",
    "    # Mutants time !!!\n",
    "    # Knock-outs - genes were deleted ...\n",
    "    \"mutControl-NT.hg19\":\"CkoCT442-AAVS1-NT-pool.mcool\",\n",
    "    \"mutControl-IAA.hg19\":\"CkoCT442-AAVS1-IAA-pool.mcool\",\n",
    "    \"mutDDX55-NT.hg19\":\"DDX55-clones-NT.hg19.mapq_30.1000.mcool\",\n",
    "    \"mutDDX55-IAA.hg19\":\"DDX55-clones-IAA.hg19.mapq_30.1000.mcool\",\n",
    "    \"mutTAF5L-NT.hg19\":\"TAF5L-clones-NT.hg19.mapq_30.1000.mcool\",\n",
    "    \"mutTAF5L-IAA.hg19\":\"TAF5L-clones-IAA.hg19.mapq_30.1000.mcool\",\n",
    "    # Knock-downs - genes were silenced/deplted (siRNA) ...\n",
    "    \"siControl-NT.hg19\":\"siCTRL-NT.hg19.mapq_30.1000.mcool\",\n",
    "    \"siControl-IAA.hg19\":\"siCTRL-IAA.hg19.mapq_30.1000.mcool\",\n",
    "    \"siDDX55-NT.hg19\":\"siDDX55-NT.hg19.mapq_30.1000.mcool\",\n",
    "    \"siDDX55-IAA.hg19\":\"siDDX55-IAA.hg19.mapq_30.1000.mcool\",\n",
    "    \"siTAF5L-NT.hg19\":\"siTAF5L-NT.hg19.mapq_30.1000.mcool\",\n",
    "    \"siTAF5L-IAA.hg19\":\"siTAF5L-IAA.hg19.mapq_30.1000.mcool\",\n",
    "    \n",
    "    # PlaB (splicing inhibition) two replicates pooled together - known to affect R-loops (mostly destabilize)\n",
    "    \"CtrlPlaB-NT.hg19\" : \"NT-hg19-combined-90000000.mcool\",\n",
    "    \"CtrlPlaB-IAA.hg19\" : \"IAA-hg19-combined-90000000.mcool\",\n",
    "    \"PlaB-NT.hg19\" : \"NT-PlaB-hg19-combined-90000000.mcool\",\n",
    "    \"PlaB-IAA.hg19\" : \"IAA-PlaB-hg19-combined-90000000.mcool\",\n",
    "    \n",
    "    ## Pool HAP1 WT, NO TIR1 and TIR1\n",
    "    # this is a special subsampling case for the standard CTCF-degron(+aux)\n",
    "    # but normalized, such that the number of reads, matches the NO-TIR1\n",
    "    \"Ctrl500M-noTIR1.hg19\" : \"CkoC44-NO-TIR1-pool.mcool\",\n",
    "    \"Ctrl500M-wtHAP1.hg19\" : \"Hap1-WT-combined-500000000.mcool\",\n",
    "    \"Ctrl500M-CT442-NT.hg19\" : \"CkoCT442-NT-pool-500000000.mcool\",\n",
    "    \"Ctrl500M-CT442-IAA.hg19\" : \"CkoCT442-IAA-pool-500000000.mcool\",\n",
    "    \n",
    "    ## A group for comparing PolII degron samples - i.e. with matched read depth to Hap1WT\n",
    "    # \"Hap1-WT-combined.hg19\" : \"Hap1-WT-combined.mcool\",\n",
    "    \"PolII-800M-IAA.hg19\" : \"PTB2539-IAA-pool-800000000.mcool\",\n",
    "    \"PolII-800M-NT.hg19\" : \"PTB2539-NT-pool-800000000.mcool\",\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "# to plot ticks in terms of megabases we use the EngFormatter \n",
    "# https://matplotlib.org/gallery/api/engineering_formatter.html\n",
    "from matplotlib.ticker import EngFormatter\n",
    "bp_formatter = EngFormatter('b')\n",
    "\n",
    "def format_ticks(ax, x=True, y=True, rotate=True):\n",
    "    if y:\n",
    "        ax.yaxis.set_major_formatter(bp_formatter)\n",
    "    if x:\n",
    "        ax.xaxis.set_major_formatter(bp_formatter)\n",
    "        ax.xaxis.tick_bottom()\n",
    "    if rotate:\n",
    "        ax.tick_params(axis='x',rotation=45)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import colors\n",
    "from cooltools.lib import numutils\n",
    "from mpl_toolkits.axes_grid import make_axes_locatable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy\n",
    "def rotate_hm(hm):\n",
    "    # fill NaNs with 1.0 (obs==exp), otherwise flipping 45 breaks ...\n",
    "    hm = np.nan_to_num(hm, nan=0.)\n",
    "    _hm = scipy.ndimage.rotate(hm,45,cval=np.nan,reshape=True)\n",
    "    l,w = _hm.shape\n",
    "    half_l = l//2\n",
    "    # removing upper pic spitz vershina \"verh == up\"\n",
    "    pic_hide = int(0.33*half_l)\n",
    "    return _hm[pic_hide:half_l,:]\n",
    "\n",
    "def gene_track_to_intervals(track):\n",
    "    if (track > 0.8).any() and len(track):\n",
    "        # define diff track to find start,end locations\n",
    "        diff_track = np.diff(track)\n",
    "        starts = np.argwhere(diff_track>0.8).flatten()\n",
    "        ends = np.argwhere(diff_track<-0.8).flatten()\n",
    "\n",
    "        # add 0 or the end to starts or ends if needed\n",
    "        if len(starts):\n",
    "            if starts[0] > ends[0]:\n",
    "                # add 0 as a start, it the first start if missing\n",
    "                starts = np.r_[0, starts]\n",
    "        else:\n",
    "            starts = np.array([0])\n",
    "        if len(ends):\n",
    "            if ends[-1] < starts[-1]:\n",
    "                # add 0 as a start, it the first start if missing\n",
    "                ends = np.r_[ends, len(track)-1]\n",
    "        else:\n",
    "            end = np.array(len(track)-1)\n",
    "        # return\n",
    "        return starts, ends\n",
    "    else:\n",
    "        return [], []\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# \"ctcf\",\"noctcf\",\n",
    "\n",
    "# \"rad21_CTCF\",\"rad21_noCTCF\",\n",
    "# \"rad21_CTCF_r2\",\"rad21_noCTCF_r2\",\n",
    "\n",
    "# \"ddx_CTCF\",\"ddx_noCTCF\",\n",
    "# \"ddx_CTCF_r2\",\"ddx_noCTCF_r2\",\n",
    "\n",
    "# \"taf5l_CTCF\",\"taf5l_noCTCF\",\n",
    "# \"taf5l_CTCF_r2\",\"taf5l_noCTCF_r2\",\n",
    "\n",
    "# \"mrna_ctcf\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "regions = []\n",
    "regions.append(\"chr1:153,405,956-153,605,104\")\n",
    "regions.append(\"chr1:154,989,365-155,097,507\")\n",
    "regions.append(\"chr1:155,136,106-155,200,956\")\n",
    "regions.append(\"chr3:32,172,573-32,362,161\")\n",
    "regions.append(\"chr3:39,304,235-39,561,708\")\n",
    "\n",
    "#DDX55 peak that decrease at promoter\n",
    "regions.append(\"chr1:153,563,139-153,762,287\")\n",
    "regions.append(\"chr1:204,462,984-204,484,028\")\n",
    "regions.append(\"chr3:45,624,263-45,822,933\")\n",
    "\n",
    "#RAD21 stays after CTCF depletion and DDX55 peak\n",
    "regions.append(\"chr1:160,289,004-160,340,467\")\n",
    "regions.append(\"chr1:173,670,619-173,695,654\")\n",
    "\n",
    "#TAF5L and RAD21 at promoter\n",
    "regions.append(\"chr1:163,259,163-163,334,271\")\n",
    "regions.append(\"chr1:184,000,318-184,054,215\")\n",
    "regions.append(\"chr3:12,480,619-12,730,220\")\n",
    "regions.append(\"chr3:53,344,268-53,434,328\")\n",
    "regions.append(\"chr3:149,451,099-149,487,431\")\n",
    "\n",
    "#TAF5L at promoter that decrease\n",
    "regions.append(\"chr1:180,456,164-180,508,496\")\n",
    "\n",
    "#example of a TAF5L peak that decrease\n",
    "regions.append(\"chr1:151,649,232-151,734,945\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "original length of the region chr1:155,136,106-155,200,956 is 64kb\n",
      "pulling ctcf ...\n",
      "pulling noctcf ...\n",
      "pulling rad21_CTCF ...\n",
      "pulling rad21_noCTCF ...\n",
      "pulling ddx_CTCF ...\n",
      "pulling ddx_noCTCF ...\n",
      "pulling taf5l_CTCF ...\n",
      "pulling taf5l_noCTCF ...\n",
      "pulling mrna_ctcf ...\n",
      "(1.0, 550.0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "/tmp/ipykernel_30115/2146739117.py:136: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
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      "INFO:fontTools.subset:cmap pruned\n",
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      "INFO:fontTools.subset:OS/2 Unicode ranges pruned: [0]\n",
      "INFO:fontTools.subset:glyf pruned\n",
      "INFO:fontTools.subset:GDEF pruned\n",
      "INFO:fontTools.subset:GPOS pruned\n",
      "INFO:fontTools.subset:GSUB pruned\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "region = regions[2]\n",
    "\n",
    "chrom, start, end = bioframe.parse_region_string(region)\n",
    "print(f\"original length of the region {region} is {int((end - start)/1000)}kb\")\n",
    "start -= 150_000\n",
    "end += 150_000\n",
    "\n",
    "binsize = 2000\n",
    "clr = cooler.Cooler(f\"\"\"{ins_samples[\"CkoCT442_NT_pool.hg19\"]}::/resolutions/{binsize}\"\"\")\n",
    "mat = clr.matrix().fetch((chrom,start,end))\n",
    "clr_width, = np.diff(clr.extent((chrom,start,end)))\n",
    "# ignore 2 diagonals ...\n",
    "for diag in [-1,0,1]:\n",
    "    mat = numutils.set_diag(mat, np.nan, diag, copy=True)\n",
    "\n",
    "fig_samples = [\"ctcf\",\"noctcf\",\"rad21_CTCF\",\"rad21_noCTCF\",\"ddx_CTCF\",\"ddx_noCTCF\",\"taf5l_CTCF\",\"taf5l_noCTCF\",\"mrna_ctcf\"]\n",
    "vecs = {}\n",
    "for s in fig_samples:\n",
    "    print(f\"pulling {s} ...\")\n",
    "    v = bbi.fetch(\n",
    "        samples[s][\"fname\"],\n",
    "        chrom=chrom,\n",
    "        start=start,\n",
    "        end=end,\n",
    "        bins=3*clr_width,\n",
    "        missing=0.0,\n",
    "        oob=np.nan,\n",
    "        summary='mean',\n",
    "    )\n",
    "    vecs[s] = v\n",
    "\n",
    "genp = bbi.fetch(\n",
    "    \"gene_plus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "genm = bbi.fetch(\n",
    "    \"gene_minus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "f,ax = plt.subplots(figsize=(20,10))\n",
    "\n",
    "matt = ax.imshow(\n",
    "    rotate_hm(mat),\n",
    "    norm=colors.Normalize(vmin=0.0000,vmax=0.0045),\n",
    "#     norm=colors.LogNorm(vmin=0.0001,vmax=0.008),\n",
    "    cmap=\"YlOrBr\",\n",
    "    interpolation=\"none\",\n",
    ")\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])\n",
    "cbaxes = inset_axes(ax, width=\"3%\", height=\"45%\", loc=\"upper right\", borderpad=4)\n",
    "cbaxes.tick_params(axis=\"y\",direction=\"out\")\n",
    "plt.colorbar(matt, cax=cbaxes, orientation='vertical')\n",
    "\n",
    "\n",
    "\n",
    "divider = make_axes_locatable(ax)\n",
    "\n",
    "wtid=0 # a counter for the color of the chip-tracks\n",
    "cmap = plt.cm.tab20 # color set ...\n",
    "for s,track in vecs.items():\n",
    "    cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "    cax.set_xlim(0,3*clr_width)\n",
    "    if s in [\"ctcf\",\"noctcf\"]:\n",
    "        s_color=\"tab:blue\"\n",
    "        s_color=cmap(0 + (wtid%2)/20.)\n",
    "    elif s in [\"rad21_CTCF\",\"rad21_noCTCF\"]:\n",
    "        s_color=\"tab:red\"\n",
    "        s_color=cmap(1/10. + (wtid%2)/20.)\n",
    "    elif s in [\"ddx_CTCF\",\"ddx_noCTCF\"]:\n",
    "        s_color=\"tab:cyan\"\n",
    "        s_color=cmap(2/10. + (wtid%2)/20.)\n",
    "    elif s in [\"taf5l_CTCF\",\"taf5l_noCTCF\"]:\n",
    "        s_color=\"tab:olive\"\n",
    "        s_color=cmap(3/10. + (wtid%2)/20.)\n",
    "    elif s in [\"mrna_ctcf\",]:\n",
    "        s_color=\"green\"\n",
    "        s_color=cmap(4/10. + (wtid%2)/20.)\n",
    "    else:\n",
    "        cax.set_ylim(ymin, ymax)\n",
    "    wtid += 1\n",
    "    if s in [\"mrna_ctcf\",]:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=1, where=(track>=1.0), step=\"post\",label=s, color=s_color)\n",
    "    else:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=0, step=\"post\",label=s, color=s_color)\n",
    "    cax.set_xticks([])\n",
    "    leg = cax.legend(frameon=False, handlelength=0.0,handletextpad=-2.0)\n",
    "    for item in leg.legendHandles:\n",
    "        item.set_visible(False)\n",
    "    ymin, ymax = samples[s][\"crange\"]\n",
    "    # control limits manually on track to track basis:\n",
    "    if s in [\"ctcf\",\"noctcf\"]:\n",
    "        ymax = 2.5*ymax\n",
    "    elif s in [\"rad21_CTCF\",\"rad21_noCTCF\"]:\n",
    "        ymax = 4*ymax\n",
    "    elif s in [\"ddx_CTCF\",\"ddx_noCTCF\"]:\n",
    "        ymax = 4*ymax\n",
    "    elif s in [\"taf5l_CTCF\",\"taf5l_noCTCF\"]:\n",
    "        ymax = 6*ymax\n",
    "    elif s in [\"mrna_ctcf\",]:\n",
    "        ymax = 25*ymax\n",
    "    else:\n",
    "        pass\n",
    "    if samples[s][\"norm\"] is not None:\n",
    "        cax.set_yscale(\"log\")\n",
    "        ymin = 1\n",
    "    cax.set_ylim(ymin, ymax)\n",
    "    cax.set_yticks([ymax])\n",
    "    cax.set_yticklabels([ymax], va='top', ha=\"left\",minor=False)\n",
    "    cax.tick_params(axis=\"y\",direction=\"in\",pad=-3)    \n",
    "print(cax.get_ylim())\n",
    "\n",
    "cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "cax.set_xlim(0,3*clr_width)\n",
    "\n",
    "\n",
    "for s,e in zip(*gene_track_to_intervals(genp)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\");\n",
    "for s,e in zip(*gene_track_to_intervals(genm)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
    "cax.set_ylim(1-0.25,1+0.25)\n",
    "cax.set_yticks([])\n",
    "\n",
    "\n",
    "xticks = np.linspace(0,3*clr_width,4)\n",
    "cax.set_xticks(xticks)\n",
    "\n",
    "def nice_bp(bp):\n",
    "    if bp > 1_000_000:\n",
    "        return f\"{(bp/1_000_000):.2f} Mb\"\n",
    "    elif bp > 1_000:\n",
    "        return f\"{(bp/1_000):.2f} kb\"\n",
    "    else:\n",
    "        return f\"{int(bp)} b\"\n",
    "\n",
    "\n",
    "cax.set_xticklabels(\n",
    "    [\n",
    "        nice_bp((clr.offset((chrom,start,end)) + (xt/3.0))*clr.binsize) for xt in xticks\n",
    "    ],\n",
    "    ha=\"left\",\n",
    ")\n",
    "\n",
    "for ii,label in enumerate(cax.xaxis.get_majorticklabels()):\n",
    "    if ii==0:\n",
    "        label.set_ha(\"left\")\n",
    "    elif ii<3:\n",
    "        label.set_ha(\"center\")\n",
    "    else:\n",
    "        label.set_ha(\"right\")\n",
    "\n",
    "plt.savefig(f\"latest_greates1.pdf\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "original length of the region chr1:153,563,139-153,762,287 is 199kb\n",
      "pulling ctcf ...\n",
      "pulling noctcf ...\n",
      "pulling rad21_CTCF ...\n",
      "pulling rad21_noCTCF ...\n",
      "pulling ddx_CTCF ...\n",
      "pulling ddx_noCTCF ...\n",
      "pulling taf5l_CTCF ...\n",
      "pulling taf5l_noCTCF ...\n",
      "pulling mrna_ctcf ...\n",
      "(1.0, 1100.0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_30115/2599956744.py:130: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\");\n",
      "/tmp/ipykernel_30115/2599956744.py:133: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
      "INFO:fontTools.subset:maxp pruned\n",
      "INFO:fontTools.subset:cmap pruned\n",
      "INFO:fontTools.subset:kern dropped\n",
      "INFO:fontTools.subset:post pruned\n",
      "INFO:fontTools.subset:FFTM dropped\n",
      "INFO:fontTools.subset:GPOS pruned\n",
      "INFO:fontTools.subset:GSUB pruned\n",
      "INFO:fontTools.subset:name pruned\n",
      "INFO:fontTools.subset:glyf pruned\n",
      "INFO:fontTools.subset:Added gid0 to subset\n",
      "INFO:fontTools.subset:Added first four glyphs to subset\n",
      "INFO:fontTools.subset:Closing glyph list over 'GSUB': 32 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91]\n",
      "INFO:fontTools.subset:Closed glyph list over 'GSUB': 35 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closing glyph list over 'MATH': 35 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closed glyph list over 'MATH': 35 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closing glyph list over 'glyf': 35 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closed glyph list over 'glyf': 35 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Retaining 35 glyphs\n",
      "INFO:fontTools.subset:head subsetting not needed\n",
      "INFO:fontTools.subset:hhea subsetting not needed\n",
      "INFO:fontTools.subset:maxp subsetting not needed\n",
      "INFO:fontTools.subset:OS/2 subsetting not needed\n",
      "INFO:fontTools.subset:hmtx subsetted\n",
      "INFO:fontTools.subset:cmap subsetted\n",
      "INFO:fontTools.subset:fpgm subsetting not needed\n",
      "INFO:fontTools.subset:prep subsetting not needed\n",
      "INFO:fontTools.subset:cvt  subsetting not needed\n",
      "INFO:fontTools.subset:loca subsetting not needed\n",
      "INFO:fontTools.subset:post subsetted\n",
      "INFO:fontTools.subset:gasp subsetting not needed\n",
      "INFO:fontTools.subset:GDEF subsetted\n",
      "INFO:fontTools.subset:GPOS subsetted\n",
      "INFO:fontTools.subset:GSUB subsetted\n",
      "INFO:fontTools.subset:MATH subsetted\n",
      "INFO:fontTools.subset:name subsetting not needed\n",
      "INFO:fontTools.subset:glyf subsetted\n",
      "INFO:fontTools.subset:head pruned\n",
      "INFO:fontTools.subset:OS/2 Unicode ranges pruned: [0]\n",
      "INFO:fontTools.subset:glyf pruned\n",
      "INFO:fontTools.subset:GDEF pruned\n",
      "INFO:fontTools.subset:GPOS pruned\n",
      "INFO:fontTools.subset:GSUB pruned\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1368x720 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "region = regions[5]\n",
    "\n",
    "chrom, start, end = bioframe.parse_region_string(region)\n",
    "print(f\"original length of the region {region} is {int((end - start)/1000)}kb\")\n",
    "start -= 150_000\n",
    "end += 150_000\n",
    "\n",
    "binsize = 2000\n",
    "clr = cooler.Cooler(f\"\"\"{ins_samples[\"CkoCT442_NT_pool.hg19\"]}::/resolutions/{binsize}\"\"\")\n",
    "mat = clr.matrix().fetch((chrom,start,end))\n",
    "clr_width, = np.diff(clr.extent((chrom,start,end)))\n",
    "# ignore 2 diagonals ...\n",
    "for diag in [-1,0,1]:\n",
    "    mat = numutils.set_diag(mat, np.nan, diag, copy=True)\n",
    "\n",
    "fig_samples = [\"ctcf\",\"noctcf\",\"rad21_CTCF\",\"rad21_noCTCF\",\"ddx_CTCF\",\"ddx_noCTCF\",\"taf5l_CTCF\",\"taf5l_noCTCF\",\"mrna_ctcf\"]\n",
    "vecs = {}\n",
    "for s in fig_samples:\n",
    "    print(f\"pulling {s} ...\")\n",
    "    v = bbi.fetch(\n",
    "        samples[s][\"fname\"],\n",
    "        chrom=chrom,\n",
    "        start=start,\n",
    "        end=end,\n",
    "        bins=3*clr_width,\n",
    "        missing=0.0,\n",
    "        oob=np.nan,\n",
    "        summary='mean',\n",
    "    )\n",
    "    vecs[s] = v\n",
    "\n",
    "genp = bbi.fetch(\n",
    "    \"gene_plus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "genm = bbi.fetch(\n",
    "    \"gene_minus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "f,ax = plt.subplots(figsize=(19,10))\n",
    "\n",
    "matt = ax.imshow(\n",
    "    rotate_hm(mat),\n",
    "    norm=colors.Normalize(vmin=0.0000,vmax=0.0045),\n",
    "#     norm=colors.LogNorm(vmin=0.0001,vmax=0.008),\n",
    "    cmap=\"YlOrBr\",\n",
    "    interpolation=\"none\",\n",
    ")\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])\n",
    "cbaxes = inset_axes(ax, width=\"3%\", height=\"45%\", loc=\"upper right\", borderpad=4)\n",
    "cbaxes.tick_params(axis=\"y\",direction=\"out\")\n",
    "plt.colorbar(matt, cax=cbaxes, orientation='vertical')\n",
    "\n",
    "divider = make_axes_locatable(ax)\n",
    "\n",
    "wtid=0 # a counter for the color of the chip-tracks\n",
    "cmap = plt.cm.tab20 # color set ...\n",
    "for s,track in vecs.items():\n",
    "    cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "    cax.set_xlim(0,3*clr_width)\n",
    "    if s in [\"ctcf\",\"noctcf\"]:\n",
    "        s_color=\"tab:blue\"\n",
    "        s_color=cmap(0 + (wtid%2)/20.)\n",
    "    elif s in [\"rad21_CTCF\",\"rad21_noCTCF\"]:\n",
    "        s_color=\"tab:red\"\n",
    "        s_color=cmap(1/10. + (wtid%2)/20.)\n",
    "    elif s in [\"ddx_CTCF\",\"ddx_noCTCF\"]:\n",
    "        s_color=\"tab:cyan\"\n",
    "        s_color=cmap(2/10. + (wtid%2)/20.)\n",
    "    elif s in [\"taf5l_CTCF\",\"taf5l_noCTCF\"]:\n",
    "        s_color=\"tab:olive\"\n",
    "        s_color=cmap(3/10. + (wtid%2)/20.)\n",
    "    elif s in [\"mrna_ctcf\",]:\n",
    "        s_color=\"green\"\n",
    "        s_color=cmap(4/10. + (wtid%2)/20.)\n",
    "    else:\n",
    "        cax.set_ylim(ymin, ymax)\n",
    "    wtid += 1\n",
    "    if s in [\"mrna_ctcf\",]:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=1, where=(track>=1.0), step=\"post\",label=s, color=s_color)\n",
    "    else:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=0, step=\"post\",label=s, color=s_color)\n",
    "    cax.set_xticks([])\n",
    "    leg = cax.legend(frameon=False, handlelength=0.0,handletextpad=-2.0)\n",
    "    for item in leg.legendHandles:\n",
    "        item.set_visible(False)\n",
    "    ymin, ymax = samples[s][\"crange\"]\n",
    "    # control limits manually on track to track basis:\n",
    "    if s in [\"ctcf\",\"noctcf\"]:\n",
    "        ymax = 2.5*ymax\n",
    "    elif s in [\"rad21_CTCF\",\"rad21_noCTCF\"]:\n",
    "        ymax = 3*ymax\n",
    "    elif s in [\"ddx_CTCF\",\"ddx_noCTCF\"]:\n",
    "        ymax = 6*ymax\n",
    "    elif s in [\"taf5l_CTCF\",\"taf5l_noCTCF\"]:\n",
    "        ymax = 6*ymax\n",
    "    elif s in [\"mrna_ctcf\",]:\n",
    "        ymax = 50*ymax\n",
    "    else:\n",
    "        pass\n",
    "    if samples[s][\"norm\"] is not None:\n",
    "        cax.set_yscale(\"log\")\n",
    "        ymin = 1\n",
    "    cax.set_ylim(ymin, ymax)\n",
    "    cax.set_yticks([ymax])\n",
    "    cax.set_yticklabels([ymax], va='top', ha=\"left\",minor=False)\n",
    "    cax.tick_params(axis=\"y\",direction=\"in\",pad=-3)    \n",
    "print(cax.get_ylim())\n",
    "\n",
    "cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "cax.set_xlim(0,3*clr_width)\n",
    "\n",
    "for s,e in zip(*gene_track_to_intervals(genp)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\");\n",
    "for s,e in zip(*gene_track_to_intervals(genm)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
    "cax.set_ylim(1-0.25,1+0.25)\n",
    "cax.set_yticks([])\n",
    "\n",
    "\n",
    "xticks = np.linspace(0,3*clr_width,4)\n",
    "cax.set_xticks(xticks)\n",
    "\n",
    "def nice_bp(bp):\n",
    "    if bp > 1_000_000:\n",
    "        return f\"{(bp/1_000_000):.2f} Mb\"\n",
    "    elif bp > 1_000:\n",
    "        return f\"{(bp/1_000):.2f} kb\"\n",
    "    else:\n",
    "        return f\"{int(bp)} b\"\n",
    "\n",
    "\n",
    "cax.set_xticklabels(\n",
    "    [\n",
    "        nice_bp((clr.offset((chrom,start,end)) + (xt/3.0))*clr.binsize) for xt in xticks\n",
    "    ],\n",
    "    ha=\"left\",\n",
    ")\n",
    "\n",
    "for ii,label in enumerate(cax.xaxis.get_majorticklabels()):\n",
    "    if ii==0:\n",
    "        label.set_ha(\"left\")\n",
    "    elif ii<3:\n",
    "        label.set_ha(\"center\")\n",
    "    else:\n",
    "        label.set_ha(\"right\")\n",
    "\n",
    "plt.savefig(f\"latest_greates2.pdf\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "original length of the region chr1:163,259,163-163,334,271 is 75kb\n",
      "pulling ctcf ...\n",
      "pulling noctcf ...\n",
      "pulling rad21_CTCF ...\n",
      "pulling rad21_noCTCF ...\n",
      "pulling ddx_CTCF ...\n",
      "pulling ddx_noCTCF ...\n",
      "pulling taf5l_CTCF ...\n",
      "pulling taf5l_noCTCF ...\n",
      "pulling mrna_ctcf ...\n",
      "(1.0, 550.0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_30115/2674404424.py:130: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\");\n",
      "/tmp/ipykernel_30115/2674404424.py:133: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
      "INFO:fontTools.subset:maxp pruned\n",
      "INFO:fontTools.subset:cmap pruned\n",
      "INFO:fontTools.subset:kern dropped\n",
      "INFO:fontTools.subset:post pruned\n",
      "INFO:fontTools.subset:FFTM dropped\n",
      "INFO:fontTools.subset:GPOS pruned\n",
      "INFO:fontTools.subset:GSUB pruned\n",
      "INFO:fontTools.subset:name pruned\n",
      "INFO:fontTools.subset:glyf pruned\n",
      "INFO:fontTools.subset:Added gid0 to subset\n",
      "INFO:fontTools.subset:Added first four glyphs to subset\n",
      "INFO:fontTools.subset:Closing glyph list over 'GSUB': 31 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91]\n",
      "INFO:fontTools.subset:Closed glyph list over 'GSUB': 34 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closing glyph list over 'MATH': 34 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closed glyph list over 'MATH': 34 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closing glyph list over 'glyf': 34 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closed glyph list over 'glyf': 34 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Retaining 34 glyphs\n",
      "INFO:fontTools.subset:head subsetting not needed\n",
      "INFO:fontTools.subset:hhea subsetting not needed\n",
      "INFO:fontTools.subset:maxp subsetting not needed\n",
      "INFO:fontTools.subset:OS/2 subsetting not needed\n",
      "INFO:fontTools.subset:hmtx subsetted\n",
      "INFO:fontTools.subset:cmap subsetted\n",
      "INFO:fontTools.subset:fpgm subsetting not needed\n",
      "INFO:fontTools.subset:prep subsetting not needed\n",
      "INFO:fontTools.subset:cvt  subsetting not needed\n",
      "INFO:fontTools.subset:loca subsetting not needed\n",
      "INFO:fontTools.subset:post subsetted\n",
      "INFO:fontTools.subset:gasp subsetting not needed\n",
      "INFO:fontTools.subset:GDEF subsetted\n",
      "INFO:fontTools.subset:GPOS subsetted\n",
      "INFO:fontTools.subset:GSUB subsetted\n",
      "INFO:fontTools.subset:MATH subsetted\n",
      "INFO:fontTools.subset:name subsetting not needed\n",
      "INFO:fontTools.subset:glyf subsetted\n",
      "INFO:fontTools.subset:head pruned\n",
      "INFO:fontTools.subset:OS/2 Unicode ranges pruned: [0]\n",
      "INFO:fontTools.subset:glyf pruned\n",
      "INFO:fontTools.subset:GDEF pruned\n",
      "INFO:fontTools.subset:GPOS pruned\n",
      "INFO:fontTools.subset:GSUB pruned\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1368x720 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "region = regions[10]\n",
    "\n",
    "chrom, start, end = bioframe.parse_region_string(region)\n",
    "print(f\"original length of the region {region} is {int((end - start)/1000)}kb\")\n",
    "start -= 150_000\n",
    "end += 150_000\n",
    "\n",
    "binsize = 2000\n",
    "clr = cooler.Cooler(f\"\"\"{ins_samples[\"CkoCT442_NT_pool.hg19\"]}::/resolutions/{binsize}\"\"\")\n",
    "mat = clr.matrix().fetch((chrom,start,end))\n",
    "clr_width, = np.diff(clr.extent((chrom,start,end)))\n",
    "# ignore 2 diagonals ...\n",
    "for diag in [-1,0,1]:\n",
    "    mat = numutils.set_diag(mat, np.nan, diag, copy=True)\n",
    "\n",
    "fig_samples = [\"ctcf\",\"noctcf\",\"rad21_CTCF\",\"rad21_noCTCF\",\"ddx_CTCF\",\"ddx_noCTCF\",\"taf5l_CTCF\",\"taf5l_noCTCF\",\"mrna_ctcf\"]\n",
    "vecs = {}\n",
    "for s in fig_samples:\n",
    "    print(f\"pulling {s} ...\")\n",
    "    v = bbi.fetch(\n",
    "        samples[s][\"fname\"],\n",
    "        chrom=chrom,\n",
    "        start=start,\n",
    "        end=end,\n",
    "        bins=3*clr_width,\n",
    "        missing=0.0,\n",
    "        oob=np.nan,\n",
    "        summary='mean',\n",
    "    )\n",
    "    vecs[s] = v\n",
    "\n",
    "genp = bbi.fetch(\n",
    "    \"gene_plus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "genm = bbi.fetch(\n",
    "    \"gene_minus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "f,ax = plt.subplots(figsize=(19,10))\n",
    "\n",
    "matt = ax.imshow(\n",
    "    rotate_hm(mat),\n",
    "    norm=colors.Normalize(vmin=0.0000,vmax=0.0045),\n",
    "#     norm=colors.LogNorm(vmin=0.0001,vmax=0.008),\n",
    "    cmap=\"YlOrBr\",\n",
    "    interpolation=\"none\",\n",
    ")\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])\n",
    "cbaxes = inset_axes(ax, width=\"3%\", height=\"45%\", loc=\"upper right\", borderpad=4)\n",
    "cbaxes.tick_params(axis=\"y\",direction=\"out\")\n",
    "plt.colorbar(matt, cax=cbaxes, orientation='vertical')\n",
    "\n",
    "divider = make_axes_locatable(ax)\n",
    "\n",
    "wtid=0 # a counter for the color of the chip-tracks\n",
    "cmap = plt.cm.tab20 # color set ...\n",
    "for s,track in vecs.items():\n",
    "    cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "    cax.set_xlim(0,3*clr_width)\n",
    "    if s in [\"ctcf\",\"noctcf\"]:\n",
    "        s_color=\"tab:blue\"\n",
    "        s_color=cmap(0 + (wtid%2)/20.)\n",
    "    elif s in [\"rad21_CTCF\",\"rad21_noCTCF\"]:\n",
    "        s_color=\"tab:red\"\n",
    "        s_color=cmap(1/10. + (wtid%2)/20.)\n",
    "    elif s in [\"ddx_CTCF\",\"ddx_noCTCF\"]:\n",
    "        s_color=\"tab:cyan\"\n",
    "        s_color=cmap(2/10. + (wtid%2)/20.)\n",
    "    elif s in [\"taf5l_CTCF\",\"taf5l_noCTCF\"]:\n",
    "        s_color=\"tab:olive\"\n",
    "        s_color=cmap(3/10. + (wtid%2)/20.)\n",
    "    elif s in [\"mrna_ctcf\",]:\n",
    "        s_color=\"green\"\n",
    "        s_color=cmap(4/10. + (wtid%2)/20.)\n",
    "    else:\n",
    "        cax.set_ylim(ymin, ymax)\n",
    "    wtid += 1\n",
    "    if s in [\"mrna_ctcf\",]:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=1, where=(track>=1.0), step=\"post\",label=s, color=s_color)\n",
    "    else:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=0, step=\"post\",label=s, color=s_color)\n",
    "    cax.set_xticks([])\n",
    "    leg = cax.legend(frameon=False, handlelength=0.0,handletextpad=-2.0)\n",
    "    for item in leg.legendHandles:\n",
    "        item.set_visible(False)\n",
    "    ymin, ymax = samples[s][\"crange\"]\n",
    "    # control limits manually on track to track basis:\n",
    "    if s in [\"ctcf\",\"noctcf\"]:\n",
    "        ymax = 1*ymax\n",
    "    elif s in [\"rad21_CTCF\",\"rad21_noCTCF\"]:\n",
    "        ymax = 2*ymax\n",
    "    elif s in [\"ddx_CTCF\",\"ddx_noCTCF\"]:\n",
    "        ymax = 4*ymax\n",
    "    elif s in [\"taf5l_CTCF\",\"taf5l_noCTCF\"]:\n",
    "        ymax = 6*ymax\n",
    "    elif s in [\"mrna_ctcf\",]:\n",
    "        ymax = 25*ymax\n",
    "    else:\n",
    "        pass\n",
    "    if samples[s][\"norm\"] is not None:\n",
    "        cax.set_yscale(\"log\")\n",
    "        ymin = 1\n",
    "    cax.set_ylim(ymin, ymax)\n",
    "    cax.set_yticks([ymax])\n",
    "    cax.set_yticklabels([ymax], va='top', ha=\"left\",minor=False)\n",
    "    cax.tick_params(axis=\"y\",direction=\"in\",pad=-3)    \n",
    "print(cax.get_ylim())\n",
    "\n",
    "cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "cax.set_xlim(0,3*clr_width)\n",
    "\n",
    "for s,e in zip(*gene_track_to_intervals(genp)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\");\n",
    "for s,e in zip(*gene_track_to_intervals(genm)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
    "cax.set_ylim(1-0.25,1+0.25)\n",
    "cax.set_yticks([])\n",
    "\n",
    "\n",
    "xticks = np.linspace(0,3*clr_width,4)\n",
    "cax.set_xticks(xticks)\n",
    "\n",
    "def nice_bp(bp):\n",
    "    if bp > 1_000_000:\n",
    "        return f\"{(bp/1_000_000):.2f} Mb\"\n",
    "    elif bp > 1_000:\n",
    "        return f\"{(bp/1_000):.2f} kb\"\n",
    "    else:\n",
    "        return f\"{int(bp)} b\"\n",
    "\n",
    "\n",
    "cax.set_xticklabels(\n",
    "    [\n",
    "        nice_bp((clr.offset((chrom,start,end)) + (xt/3.0))*clr.binsize) for xt in xticks\n",
    "    ]\n",
    ")\n",
    "\n",
    "for ii,label in enumerate(cax.xaxis.get_majorticklabels()):\n",
    "    if ii==0:\n",
    "        label.set_ha(\"left\")\n",
    "    elif ii<3:\n",
    "        label.set_ha(\"center\")\n",
    "    else:\n",
    "        label.set_ha(\"right\")\n",
    "\n",
    "plt.savefig(f\"latest_greates3.pdf\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "latest_greates1.pdf                           100%  121KB 353.6KB/s   00:00    \n",
      "latest_greates2.pdf                           100%  178KB 169.9KB/s   00:01    \n",
      "latest_greates3.pdf                           100%  121KB 952.3KB/s   00:00    \n"
     ]
    }
   ],
   "source": [
    "! scp latest_greates1.pdf ghpcc:/nl/umw_job_dekker/users/sv49w/ALV2021/\n",
    "! scp latest_greates2.pdf ghpcc:/nl/umw_job_dekker/users/sv49w/ALV2021/\n",
    "! scp latest_greates3.pdf ghpcc:/nl/umw_job_dekker/users/sv49w/ALV2021/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ssh: Could not resolve hostname xxx_chr1: Temporary failure in name resolution\n",
      "XXX_chr1_151_649_232-151_734_945_2000.pdf     100%  505KB   3.6MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr1: Temporary failure in name resolution\n",
      "XXX_chr1_153_405_956-153_605_104_2000.pdf     100%  481KB   3.6MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr1: Temporary failure in name resolution\n",
      "XXX_chr1_153_563_139-153_762_287_2000.pdf     100%  558KB   3.1MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr1: Temporary failure in name resolution\n",
      "XXX_chr1_154_989_365-155_097_507_2000.pdf     100%  516KB   3.7MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr1: Temporary failure in name resolution\n",
      "XXX_chr1_155_136_106-155_200_956_2000.pdf     100%  493KB   3.4MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr1: Temporary failure in name resolution\n",
      "XXX_chr1_160_289_004-160_340_467_2000.pdf     100%  487KB   3.9MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr1: Temporary failure in name resolution\n",
      "XXX_chr1_163_259_163-163_334_271_2000.pdf     100%  489KB   3.6MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr1: Temporary failure in name resolution\n",
      "XXX_chr1_173_670_619-173_695_654_2000.pdf     100%  470KB   2.8MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr1: Temporary failure in name resolution\n",
      "XXX_chr1_180_456_164-180_508_496_2000.pdf     100%  482KB   3.8MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr1: Temporary failure in name resolution\n",
      "XXX_chr1_184_000_318-184_054_215_2000.pdf     100%  486KB   3.7MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr1: Temporary failure in name resolution\n",
      "XXX_chr1_204_462_984-204_484_028_2000.pdf     100%  471KB   3.3MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr3: Temporary failure in name resolution\n",
      "XXX_chr3_12_480_619-12_730_220_2000.pdf       100%  545KB   4.0MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr3: Temporary failure in name resolution\n",
      "XXX_chr3_149_451_099-149_487_431_2000.pdf     100%  472KB   4.0MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr3: Temporary failure in name resolution\n",
      "XXX_chr3_32_172_573-32_362_161_2000.pdf       100%  543KB   4.2MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr3: Temporary failure in name resolution\n",
      "XXX_chr3_39_304_235-39_561_708_2000.pdf       100%  569KB   2.8MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr3: Temporary failure in name resolution\n",
      "XXX_chr3_45_624_263-45_822_933_2000.pdf       100%  545KB   4.2MB/s   00:00    \n",
      "ssh: Could not resolve hostname xxx_chr3: Temporary failure in name resolution\n",
      "XXX_chr3_53_344_268-53_434_328_2000.pdf       100%  493KB   3.7MB/s   00:00    \n"
     ]
    }
   ],
   "source": [
    "! scp *_2000.pdf ghpcc:/nl/umw_job_dekker/users/sv49w/ALV2021/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "original length of the region chr1:155,136,106-155,200,956 is 64kb\n",
      "pulling ctcf_r2 ...\n",
      "pulling noctcf_r2 ...\n",
      "pulling rad21_CTCF_r2 ...\n",
      "pulling rad21_noCTCF_r2 ...\n",
      "pulling ddx_CTCF_r2 ...\n",
      "pulling ddx_noCTCF_r2 ...\n",
      "pulling taf5l_CTCF_r2 ...\n",
      "pulling taf5l_noCTCF_r2 ...\n",
      "pulling mrna_ctcf_r2 ...\n",
      "(1.0, 550.0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_30115/2750196521.py:132: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\");\n",
      "/tmp/ipykernel_30115/2750196521.py:135: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
      "INFO:fontTools.subset:maxp pruned\n",
      "INFO:fontTools.subset:cmap pruned\n",
      "INFO:fontTools.subset:kern dropped\n",
      "INFO:fontTools.subset:post pruned\n",
      "INFO:fontTools.subset:FFTM dropped\n",
      "INFO:fontTools.subset:GPOS pruned\n",
      "INFO:fontTools.subset:GSUB pruned\n",
      "INFO:fontTools.subset:name pruned\n",
      "INFO:fontTools.subset:glyf pruned\n",
      "INFO:fontTools.subset:Added gid0 to subset\n",
      "INFO:fontTools.subset:Added first four glyphs to subset\n",
      "INFO:fontTools.subset:Closing glyph list over 'GSUB': 31 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91]\n",
      "INFO:fontTools.subset:Closed glyph list over 'GSUB': 34 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closing glyph list over 'MATH': 34 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closed glyph list over 'MATH': 34 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closing glyph list over 'glyf': 34 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closed glyph list over 'glyf': 34 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Retaining 34 glyphs\n",
      "INFO:fontTools.subset:head subsetting not needed\n",
      "INFO:fontTools.subset:hhea subsetting not needed\n",
      "INFO:fontTools.subset:maxp subsetting not needed\n",
      "INFO:fontTools.subset:OS/2 subsetting not needed\n",
      "INFO:fontTools.subset:hmtx subsetted\n",
      "INFO:fontTools.subset:cmap subsetted\n",
      "INFO:fontTools.subset:fpgm subsetting not needed\n",
      "INFO:fontTools.subset:prep subsetting not needed\n",
      "INFO:fontTools.subset:cvt  subsetting not needed\n",
      "INFO:fontTools.subset:loca subsetting not needed\n",
      "INFO:fontTools.subset:post subsetted\n",
      "INFO:fontTools.subset:gasp subsetting not needed\n",
      "INFO:fontTools.subset:GDEF subsetted\n",
      "INFO:fontTools.subset:GPOS subsetted\n",
      "INFO:fontTools.subset:GSUB subsetted\n",
      "INFO:fontTools.subset:MATH subsetted\n",
      "INFO:fontTools.subset:name subsetting not needed\n",
      "INFO:fontTools.subset:glyf subsetted\n",
      "INFO:fontTools.subset:head pruned\n",
      "INFO:fontTools.subset:OS/2 Unicode ranges pruned: [0]\n",
      "INFO:fontTools.subset:glyf pruned\n",
      "INFO:fontTools.subset:GDEF pruned\n",
      "INFO:fontTools.subset:GPOS pruned\n",
      "INFO:fontTools.subset:GSUB pruned\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "region = regions[2]\n",
    "chrom, start, end = bioframe.parse_region_string(region)\n",
    "print(f\"original length of the region {region} is {int((end - start)/1000)}kb\")\n",
    "start -= 150_000\n",
    "end += 150_000\n",
    "\n",
    "binsize = 2000\n",
    "clr = cooler.Cooler(f\"\"\"{ins_samples[\"CkoCT442_NT_pool.hg19\"]}::/resolutions/{binsize}\"\"\")\n",
    "mat = clr.matrix().fetch((chrom,start,end))\n",
    "clr_width, = np.diff(clr.extent((chrom,start,end)))\n",
    "# ignore 2 diagonals ...\n",
    "for diag in [-1,0,1]:\n",
    "    mat = numutils.set_diag(mat, np.nan, diag, copy=True)\n",
    "\n",
    "fig_samples = [\"ctcf_r2\",\"noctcf_r2\",\"rad21_CTCF_r2\",\"rad21_noCTCF_r2\",\"ddx_CTCF_r2\",\"ddx_noCTCF_r2\",\"taf5l_CTCF_r2\",\"taf5l_noCTCF_r2\",\"mrna_ctcf_r2\"]\n",
    "vecs = {}\n",
    "for s in fig_samples:\n",
    "    print(f\"pulling {s} ...\")\n",
    "    v = bbi.fetch(\n",
    "        samples[s][\"fname\"],\n",
    "        chrom=chrom,\n",
    "        start=start,\n",
    "        end=end,\n",
    "        bins=3*clr_width,\n",
    "        missing=0.0,\n",
    "        oob=np.nan,\n",
    "        summary='mean',\n",
    "    )\n",
    "    vecs[s] = v\n",
    "\n",
    "genp = bbi.fetch(\n",
    "    \"gene_plus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "genm = bbi.fetch(\n",
    "    \"gene_minus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "f,ax = plt.subplots(figsize=(20,10))\n",
    "\n",
    "matt = ax.imshow(\n",
    "    rotate_hm(mat),\n",
    "    norm=colors.Normalize(vmin=0.0000,vmax=0.0045),\n",
    "#     norm=colors.LogNorm(vmin=0.0001,vmax=0.008),\n",
    "    cmap=\"YlOrBr\",\n",
    "    interpolation=\"none\",\n",
    ")\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])\n",
    "cbaxes = inset_axes(ax, width=\"3%\", height=\"45%\", loc=\"upper right\", borderpad=4)\n",
    "cbaxes.tick_params(axis=\"y\",direction=\"out\")\n",
    "plt.colorbar(matt, cax=cbaxes, orientation='vertical')\n",
    "\n",
    "\n",
    "\n",
    "divider = make_axes_locatable(ax)\n",
    "\n",
    "wtid=0 # a counter for the color of the chip-tracks\n",
    "cmap = plt.cm.tab20 # color set ...\n",
    "for s,track in vecs.items():\n",
    "    cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "    cax.set_xlim(0,3*clr_width)\n",
    "    if s in [\"ctcf_r2\",\"noctcf_r2\"]:\n",
    "        s_color=\"tab:blue\"\n",
    "        s_color=cmap(0 + (wtid%2)/20.)\n",
    "    elif s in [\"rad21_CTCF_r2\",\"rad21_noCTCF_r2\"]:\n",
    "        s_color=\"tab:red\"\n",
    "        s_color=cmap(1/10. + (wtid%2)/20.)\n",
    "    elif s in [\"ddx_CTCF_r2\",\"ddx_noCTCF_r2\"]:\n",
    "        s_color=\"tab:cyan\"\n",
    "        s_color=cmap(2/10. + (wtid%2)/20.)\n",
    "    elif s in [\"taf5l_CTCF_r2\",\"taf5l_noCTCF_r2\"]:\n",
    "        s_color=\"tab:olive\"\n",
    "        s_color=cmap(3/10. + (wtid%2)/20.)\n",
    "    elif s in [\"mrna_ctcf_r2\",]:\n",
    "        s_color=\"green\"\n",
    "        s_color=cmap(4/10. + (wtid%2)/20.)\n",
    "    else:\n",
    "        cax.set_ylim(ymin, ymax)\n",
    "    wtid += 1\n",
    "    if s in [\"mrna_ctcf_r2\",]:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=1, where=(track>=1.0), step=\"post\",label=s, color=s_color)\n",
    "    else:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=0, step=\"post\",label=s, color=s_color)\n",
    "    cax.set_xticks([])\n",
    "    leg = cax.legend(frameon=False, handlelength=0.0,handletextpad=-2.0)\n",
    "    for item in leg.legendHandles:\n",
    "        item.set_visible(False)\n",
    "    ymin, ymax = samples[s][\"crange\"]\n",
    "    # control limits manually on track to track basis:\n",
    "    if s in [\"ctcf_r2\",\"noctcf_r2\"]:\n",
    "        ymax = 1.33*ymax\n",
    "    elif s in [\"rad21_CTCF_r2\",\"rad21_noCTCF_r2\"]:\n",
    "        ymax = 4*ymax\n",
    "    elif s in [\"ddx_CTCF_r2\",\"ddx_noCTCF_r2\"]:\n",
    "        ymax = 4*ymax\n",
    "    elif s in [\"taf5l_CTCF_r2\",\"taf5l_noCTCF_r2\"]:\n",
    "        ymax = 6*ymax\n",
    "    elif s in [\"mrna_ctcf_r2\",]:\n",
    "        ymax = 25*ymax\n",
    "    else:\n",
    "        pass\n",
    "    if samples[s][\"norm\"] is not None:\n",
    "        cax.set_yscale(\"log\")\n",
    "        ymin = 1\n",
    "    cax.set_ylim(ymin, ymax)\n",
    "    cax.set_yticks([ymax])\n",
    "    cax.set_yticklabels([ymax], va='top', ha=\"left\",minor=False)\n",
    "    cax.tick_params(axis=\"y\",direction=\"in\",pad=-3)    \n",
    "print(cax.get_ylim())\n",
    "\n",
    "cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "cax.set_xlim(0,3*clr_width)\n",
    "\n",
    "\n",
    "for s,e in zip(*gene_track_to_intervals(genp)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\");\n",
    "for s,e in zip(*gene_track_to_intervals(genm)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
    "cax.set_ylim(1-0.25,1+0.25)\n",
    "cax.set_yticks([])\n",
    "\n",
    "\n",
    "xticks = np.linspace(0,3*clr_width,4)\n",
    "cax.set_xticks(xticks)\n",
    "\n",
    "def nice_bp(bp):\n",
    "    if bp > 1_000_000:\n",
    "        return f\"{(bp/1_000_000):.2f} Mb\"\n",
    "    elif bp > 1_000:\n",
    "        return f\"{(bp/1_000):.2f} kb\"\n",
    "    else:\n",
    "        return f\"{int(bp)} b\"\n",
    "\n",
    "\n",
    "cax.set_xticklabels(\n",
    "    [\n",
    "        nice_bp((clr.offset((chrom,start,end)) + (xt/3.0))*clr.binsize) for xt in xticks\n",
    "    ],\n",
    "    ha=\"left\",\n",
    ")\n",
    "\n",
    "for ii,label in enumerate(cax.xaxis.get_majorticklabels()):\n",
    "    if ii==0:\n",
    "        label.set_ha(\"left\")\n",
    "    elif ii<3:\n",
    "        label.set_ha(\"center\")\n",
    "    else:\n",
    "        label.set_ha(\"right\")\n",
    "\n",
    "plt.savefig(f\"latest_greates1_r2.pdf\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "original length of the region chr1:153,563,139-153,762,287 is 199kb\n",
      "pulling ctcf_r2 ...\n",
      "pulling noctcf_r2 ...\n",
      "pulling rad21_CTCF_r2 ...\n",
      "pulling rad21_noCTCF_r2 ...\n",
      "pulling ddx_CTCF_r2 ...\n",
      "pulling ddx_noCTCF_r2 ...\n",
      "pulling taf5l_CTCF_r2 ...\n",
      "pulling taf5l_noCTCF_r2 ...\n",
      "pulling mrna_ctcf_r2 ...\n",
      "(1.0, 1320.0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_30115/1264966523.py:130: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\");\n",
      "/tmp/ipykernel_30115/1264966523.py:133: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
      "INFO:fontTools.subset:maxp pruned\n",
      "INFO:fontTools.subset:cmap pruned\n",
      "INFO:fontTools.subset:kern dropped\n",
      "INFO:fontTools.subset:post pruned\n",
      "INFO:fontTools.subset:FFTM dropped\n",
      "INFO:fontTools.subset:GPOS pruned\n",
      "INFO:fontTools.subset:GSUB pruned\n",
      "INFO:fontTools.subset:name pruned\n",
      "INFO:fontTools.subset:glyf pruned\n",
      "INFO:fontTools.subset:Added gid0 to subset\n",
      "INFO:fontTools.subset:Added first four glyphs to subset\n",
      "INFO:fontTools.subset:Closing glyph list over 'GSUB': 32 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91]\n",
      "INFO:fontTools.subset:Closed glyph list over 'GSUB': 35 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closing glyph list over 'MATH': 35 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closed glyph list over 'MATH': 35 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closing glyph list over 'glyf': 35 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closed glyph list over 'glyf': 35 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'seven', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Retaining 35 glyphs\n",
      "INFO:fontTools.subset:head subsetting not needed\n",
      "INFO:fontTools.subset:hhea subsetting not needed\n",
      "INFO:fontTools.subset:maxp subsetting not needed\n",
      "INFO:fontTools.subset:OS/2 subsetting not needed\n",
      "INFO:fontTools.subset:hmtx subsetted\n",
      "INFO:fontTools.subset:cmap subsetted\n",
      "INFO:fontTools.subset:fpgm subsetting not needed\n",
      "INFO:fontTools.subset:prep subsetting not needed\n",
      "INFO:fontTools.subset:cvt  subsetting not needed\n",
      "INFO:fontTools.subset:loca subsetting not needed\n",
      "INFO:fontTools.subset:post subsetted\n",
      "INFO:fontTools.subset:gasp subsetting not needed\n",
      "INFO:fontTools.subset:GDEF subsetted\n",
      "INFO:fontTools.subset:GPOS subsetted\n",
      "INFO:fontTools.subset:GSUB subsetted\n",
      "INFO:fontTools.subset:MATH subsetted\n",
      "INFO:fontTools.subset:name subsetting not needed\n",
      "INFO:fontTools.subset:glyf subsetted\n",
      "INFO:fontTools.subset:head pruned\n",
      "INFO:fontTools.subset:OS/2 Unicode ranges pruned: [0]\n",
      "INFO:fontTools.subset:glyf pruned\n",
      "INFO:fontTools.subset:GDEF pruned\n",
      "INFO:fontTools.subset:GPOS pruned\n",
      "INFO:fontTools.subset:GSUB pruned\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1368x720 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "region = regions[5]\n",
    "\n",
    "chrom, start, end = bioframe.parse_region_string(region)\n",
    "print(f\"original length of the region {region} is {int((end - start)/1000)}kb\")\n",
    "start -= 150_000\n",
    "end += 150_000\n",
    "\n",
    "binsize = 2000\n",
    "clr = cooler.Cooler(f\"\"\"{ins_samples[\"CkoCT442_NT_pool.hg19\"]}::/resolutions/{binsize}\"\"\")\n",
    "mat = clr.matrix().fetch((chrom,start,end))\n",
    "clr_width, = np.diff(clr.extent((chrom,start,end)))\n",
    "# ignore 2 diagonals ...\n",
    "for diag in [-1,0,1]:\n",
    "    mat = numutils.set_diag(mat, np.nan, diag, copy=True)\n",
    "\n",
    "fig_samples = [\"ctcf_r2\",\"noctcf_r2\",\"rad21_CTCF_r2\",\"rad21_noCTCF_r2\",\"ddx_CTCF_r2\",\"ddx_noCTCF_r2\",\"taf5l_CTCF_r2\",\"taf5l_noCTCF_r2\",\"mrna_ctcf_r2\"]\n",
    "vecs = {}\n",
    "for s in fig_samples:\n",
    "    print(f\"pulling {s} ...\")\n",
    "    v = bbi.fetch(\n",
    "        samples[s][\"fname\"],\n",
    "        chrom=chrom,\n",
    "        start=start,\n",
    "        end=end,\n",
    "        bins=3*clr_width,\n",
    "        missing=0.0,\n",
    "        oob=np.nan,\n",
    "        summary='mean',\n",
    "    )\n",
    "    vecs[s] = v\n",
    "\n",
    "genp = bbi.fetch(\n",
    "    \"gene_plus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "genm = bbi.fetch(\n",
    "    \"gene_minus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "f,ax = plt.subplots(figsize=(19,10))\n",
    "\n",
    "matt = ax.imshow(\n",
    "    rotate_hm(mat),\n",
    "    norm=colors.Normalize(vmin=0.0000,vmax=0.0045),\n",
    "#     norm=colors.LogNorm(vmin=0.0001,vmax=0.008),\n",
    "    cmap=\"YlOrBr\",\n",
    "    interpolation=\"none\",\n",
    ")\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])\n",
    "cbaxes = inset_axes(ax, width=\"3%\", height=\"45%\", loc=\"upper right\", borderpad=4)\n",
    "cbaxes.tick_params(axis=\"y\",direction=\"out\")\n",
    "plt.colorbar(matt, cax=cbaxes, orientation='vertical')\n",
    "\n",
    "divider = make_axes_locatable(ax)\n",
    "\n",
    "wtid=0 # a counter for the color of the chip-tracks\n",
    "cmap = plt.cm.tab20 # color set ...\n",
    "for s,track in vecs.items():\n",
    "    cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "    cax.set_xlim(0,3*clr_width)\n",
    "    if s in [\"ctcf_r2\",\"noctcf_r2\"]:\n",
    "        s_color=\"tab:blue\"\n",
    "        s_color=cmap(0 + (wtid%2)/20.)\n",
    "    elif s in [\"rad21_CTCF_r2\",\"rad21_noCTCF_r2\"]:\n",
    "        s_color=\"tab:red\"\n",
    "        s_color=cmap(1/10. + (wtid%2)/20.)\n",
    "    elif s in [\"ddx_CTCF_r2\",\"ddx_noCTCF_r2\"]:\n",
    "        s_color=\"tab:cyan\"\n",
    "        s_color=cmap(2/10. + (wtid%2)/20.)\n",
    "    elif s in [\"taf5l_CTCF_r2\",\"taf5l_noCTCF_r2\"]:\n",
    "        s_color=\"tab:olive\"\n",
    "        s_color=cmap(3/10. + (wtid%2)/20.)\n",
    "    elif s in [\"mrna_ctcf_r2\",]:\n",
    "        s_color=\"green\"\n",
    "        s_color=cmap(4/10. + (wtid%2)/20.)\n",
    "    else:\n",
    "        cax.set_ylim(ymin, ymax)\n",
    "    wtid += 1\n",
    "    if s in [\"mrna_ctcf_r2\",]:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=1, where=(track>=1.0), step=\"post\",label=s, color=s_color)\n",
    "    else:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=0, step=\"post\",label=s, color=s_color)\n",
    "    cax.set_xticks([])\n",
    "    leg = cax.legend(frameon=False, handlelength=0.0,handletextpad=-2.0)\n",
    "    for item in leg.legendHandles:\n",
    "        item.set_visible(False)\n",
    "    ymin, ymax = samples[s][\"crange\"]\n",
    "    # control limits manually on track to track basis:\n",
    "    if s in [\"ctcf_r2\",\"noctcf_r2\"]:\n",
    "        ymax = 1.5*ymax\n",
    "    elif s in [\"rad21_CTCF_r2\",\"rad21_noCTCF_r2\"]:\n",
    "        ymax = 3*ymax\n",
    "    elif s in [\"ddx_CTCF_r2\",\"ddx_noCTCF_r2\"]:\n",
    "        ymax = 6*ymax\n",
    "    elif s in [\"taf5l_CTCF_r2\",\"taf5l_noCTCF_r2\"]:\n",
    "        ymax = 6*ymax\n",
    "    elif s in [\"mrna_ctcf_r2\",]:\n",
    "        ymax = 60*ymax\n",
    "    else:\n",
    "        pass\n",
    "    if samples[s][\"norm\"] is not None:\n",
    "        cax.set_yscale(\"log\")\n",
    "        ymin = 1\n",
    "    cax.set_ylim(ymin, ymax)\n",
    "    cax.set_yticks([ymax])\n",
    "    cax.set_yticklabels([ymax], va='top', ha=\"left\",minor=False)\n",
    "    cax.tick_params(axis=\"y\",direction=\"in\",pad=-3)    \n",
    "print(cax.get_ylim())\n",
    "\n",
    "cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "cax.set_xlim(0,3*clr_width)\n",
    "\n",
    "for s,e in zip(*gene_track_to_intervals(genp)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\");\n",
    "for s,e in zip(*gene_track_to_intervals(genm)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
    "cax.set_ylim(1-0.25,1+0.25)\n",
    "cax.set_yticks([])\n",
    "\n",
    "\n",
    "xticks = np.linspace(0,3*clr_width,4)\n",
    "cax.set_xticks(xticks)\n",
    "\n",
    "def nice_bp(bp):\n",
    "    if bp > 1_000_000:\n",
    "        return f\"{(bp/1_000_000):.2f} Mb\"\n",
    "    elif bp > 1_000:\n",
    "        return f\"{(bp/1_000):.2f} kb\"\n",
    "    else:\n",
    "        return f\"{int(bp)} b\"\n",
    "\n",
    "\n",
    "cax.set_xticklabels(\n",
    "    [\n",
    "        nice_bp((clr.offset((chrom,start,end)) + (xt/3.0))*clr.binsize) for xt in xticks\n",
    "    ],\n",
    "    ha=\"left\",\n",
    ")\n",
    "\n",
    "for ii,label in enumerate(cax.xaxis.get_majorticklabels()):\n",
    "    if ii==0:\n",
    "        label.set_ha(\"left\")\n",
    "    elif ii<3:\n",
    "        label.set_ha(\"center\")\n",
    "    else:\n",
    "        label.set_ha(\"right\")\n",
    "\n",
    "plt.savefig(f\"latest_greates2_r2.pdf\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "original length of the region chr1:163,259,163-163,334,271 is 75kb\n",
      "pulling ctcf_r2 ...\n",
      "pulling noctcf_r2 ...\n",
      "pulling rad21_CTCF_r2 ...\n",
      "pulling rad21_noCTCF_r2 ...\n",
      "pulling ddx_CTCF_r2 ...\n",
      "pulling ddx_noCTCF_r2 ...\n",
      "pulling taf5l_CTCF_r2 ...\n",
      "pulling taf5l_noCTCF_r2 ...\n",
      "pulling mrna_ctcf_r2 ...\n",
      "(1.0, 550.0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_30115/3282511231.py:130: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\");\n",
      "/tmp/ipykernel_30115/3282511231.py:133: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
      "INFO:fontTools.subset:maxp pruned\n",
      "INFO:fontTools.subset:cmap pruned\n",
      "INFO:fontTools.subset:kern dropped\n",
      "INFO:fontTools.subset:post pruned\n",
      "INFO:fontTools.subset:FFTM dropped\n",
      "INFO:fontTools.subset:GPOS pruned\n",
      "INFO:fontTools.subset:GSUB pruned\n",
      "INFO:fontTools.subset:name pruned\n",
      "INFO:fontTools.subset:glyf pruned\n",
      "INFO:fontTools.subset:Added gid0 to subset\n",
      "INFO:fontTools.subset:Added first four glyphs to subset\n",
      "INFO:fontTools.subset:Closing glyph list over 'GSUB': 31 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91]\n",
      "INFO:fontTools.subset:Closed glyph list over 'GSUB': 34 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closing glyph list over 'MATH': 34 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closed glyph list over 'MATH': 34 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closing glyph list over 'glyf': 34 glyphs before\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Closed glyph list over 'glyf': 34 glyphs after\n",
      "INFO:fontTools.subset:Glyph names: ['.notdef', '.null', 'C', 'F', 'M', 'T', 'a', 'b', 'c', 'd', 'eight', 'f', 'five', 'fl', 'four', 'l', 'm', 'n', 'nine', 'nonmarkingreturn', 'o', 'one', 'period', 'r', 'six', 'space', 't', 'three', 'two', 'underscore', 'uniFB00', 'uniFB04', 'x', 'zero']\n",
      "INFO:fontTools.subset:Glyph IDs:   [0, 1, 2, 3, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 38, 41, 48, 55, 66, 68, 69, 70, 71, 73, 79, 80, 81, 82, 85, 87, 91, 5038, 5040, 5042]\n",
      "INFO:fontTools.subset:Retaining 34 glyphs\n",
      "INFO:fontTools.subset:head subsetting not needed\n",
      "INFO:fontTools.subset:hhea subsetting not needed\n",
      "INFO:fontTools.subset:maxp subsetting not needed\n",
      "INFO:fontTools.subset:OS/2 subsetting not needed\n",
      "INFO:fontTools.subset:hmtx subsetted\n",
      "INFO:fontTools.subset:cmap subsetted\n",
      "INFO:fontTools.subset:fpgm subsetting not needed\n",
      "INFO:fontTools.subset:prep subsetting not needed\n",
      "INFO:fontTools.subset:cvt  subsetting not needed\n",
      "INFO:fontTools.subset:loca subsetting not needed\n",
      "INFO:fontTools.subset:post subsetted\n",
      "INFO:fontTools.subset:gasp subsetting not needed\n",
      "INFO:fontTools.subset:GDEF subsetted\n",
      "INFO:fontTools.subset:GPOS subsetted\n",
      "INFO:fontTools.subset:GSUB subsetted\n",
      "INFO:fontTools.subset:MATH subsetted\n",
      "INFO:fontTools.subset:name subsetting not needed\n",
      "INFO:fontTools.subset:glyf subsetted\n",
      "INFO:fontTools.subset:head pruned\n",
      "INFO:fontTools.subset:OS/2 Unicode ranges pruned: [0]\n",
      "INFO:fontTools.subset:glyf pruned\n",
      "INFO:fontTools.subset:GDEF pruned\n",
      "INFO:fontTools.subset:GPOS pruned\n",
      "INFO:fontTools.subset:GSUB pruned\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1368x720 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "region = regions[10]\n",
    "\n",
    "chrom, start, end = bioframe.parse_region_string(region)\n",
    "print(f\"original length of the region {region} is {int((end - start)/1000)}kb\")\n",
    "start -= 150_000\n",
    "end += 150_000\n",
    "\n",
    "binsize = 2000\n",
    "clr = cooler.Cooler(f\"\"\"{ins_samples[\"CkoCT442_NT_pool.hg19\"]}::/resolutions/{binsize}\"\"\")\n",
    "mat = clr.matrix().fetch((chrom,start,end))\n",
    "clr_width, = np.diff(clr.extent((chrom,start,end)))\n",
    "# ignore 2 diagonals ...\n",
    "for diag in [-1,0,1]:\n",
    "    mat = numutils.set_diag(mat, np.nan, diag, copy=True)\n",
    "\n",
    "fig_samples = [\"ctcf_r2\",\"noctcf_r2\",\"rad21_CTCF_r2\",\"rad21_noCTCF_r2\",\"ddx_CTCF_r2\",\"ddx_noCTCF_r2\",\"taf5l_CTCF_r2\",\"taf5l_noCTCF_r2\",\"mrna_ctcf_r2\"]\n",
    "vecs = {}\n",
    "for s in fig_samples:\n",
    "    print(f\"pulling {s} ...\")\n",
    "    v = bbi.fetch(\n",
    "        samples[s][\"fname\"],\n",
    "        chrom=chrom,\n",
    "        start=start,\n",
    "        end=end,\n",
    "        bins=3*clr_width,\n",
    "        missing=0.0,\n",
    "        oob=np.nan,\n",
    "        summary='mean',\n",
    "    )\n",
    "    vecs[s] = v\n",
    "\n",
    "genp = bbi.fetch(\n",
    "    \"gene_plus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "genm = bbi.fetch(\n",
    "    \"gene_minus.bb\",\n",
    "    chrom=chrom,\n",
    "    start=start,\n",
    "    end=end,\n",
    "    bins=3*clr_width,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")\n",
    "\n",
    "f,ax = plt.subplots(figsize=(19,10))\n",
    "\n",
    "matt = ax.imshow(\n",
    "    rotate_hm(mat),\n",
    "    norm=colors.Normalize(vmin=0.0000,vmax=0.0045),\n",
    "#     norm=colors.LogNorm(vmin=0.0001,vmax=0.008),\n",
    "    cmap=\"YlOrBr\",\n",
    "    interpolation=\"none\",\n",
    ")\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])\n",
    "cbaxes = inset_axes(ax, width=\"3%\", height=\"45%\", loc=\"upper right\", borderpad=4)\n",
    "cbaxes.tick_params(axis=\"y\",direction=\"out\")\n",
    "plt.colorbar(matt, cax=cbaxes, orientation='vertical')\n",
    "\n",
    "divider = make_axes_locatable(ax)\n",
    "\n",
    "wtid=0 # a counter for the color of the chip-tracks\n",
    "cmap = plt.cm.tab20 # color set ...\n",
    "for s,track in vecs.items():\n",
    "    cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "    cax.set_xlim(0,3*clr_width)\n",
    "    if s in [\"ctcf_r2\",\"noctcf_r2\"]:\n",
    "        s_color=\"tab:blue\"\n",
    "        s_color=cmap(0 + (wtid%2)/20.)\n",
    "    elif s in [\"rad21_CTCF_r2\",\"rad21_noCTCF_r2\"]:\n",
    "        s_color=\"tab:red\"\n",
    "        s_color=cmap(1/10. + (wtid%2)/20.)\n",
    "    elif s in [\"ddx_CTCF_r2\",\"ddx_noCTCF_r2\"]:\n",
    "        s_color=\"tab:cyan\"\n",
    "        s_color=cmap(2/10. + (wtid%2)/20.)\n",
    "    elif s in [\"taf5l_CTCF_r2\",\"taf5l_noCTCF_r2\"]:\n",
    "        s_color=\"tab:olive\"\n",
    "        s_color=cmap(3/10. + (wtid%2)/20.)\n",
    "    elif s in [\"mrna_ctcf_r2\",]:\n",
    "        s_color=\"green\"\n",
    "        s_color=cmap(4/10. + (wtid%2)/20.)\n",
    "    else:\n",
    "        cax.set_ylim(ymin, ymax)\n",
    "    wtid += 1\n",
    "    if s in [\"mrna_ctcf_r2\",]:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=1, where=(track>=1.0), step=\"post\",label=s, color=s_color)\n",
    "    else:\n",
    "        cax.fill_between(x=np.arange(len(track)), y1=track, y2=0, step=\"post\",label=s, color=s_color)\n",
    "    cax.set_xticks([])\n",
    "    leg = cax.legend(frameon=False, handlelength=0.0,handletextpad=-2.0)\n",
    "    for item in leg.legendHandles:\n",
    "        item.set_visible(False)\n",
    "    ymin, ymax = samples[s][\"crange\"]\n",
    "    # control limits manually on track to track basis:\n",
    "    if s in [\"ctcf_r2\",\"noctcf_r2\"]:\n",
    "        ymax = 0.81*ymax\n",
    "    elif s in [\"rad21_CTCF_r2\",\"rad21_noCTCF_r2\"]:\n",
    "        ymax = 2*ymax\n",
    "    elif s in [\"ddx_CTCF_r2\",\"ddx_noCTCF_r2\"]:\n",
    "        ymax = 4*ymax\n",
    "    elif s in [\"taf5l_CTCF_r2\",\"taf5l_noCTCF_r2\"]:\n",
    "        ymax = 6*ymax\n",
    "    elif s in [\"mrna_ctcf_r2\",]:\n",
    "        ymax = 25*ymax\n",
    "    else:\n",
    "        pass\n",
    "    if samples[s][\"norm\"] is not None:\n",
    "        cax.set_yscale(\"log\")\n",
    "        ymin = 1\n",
    "    cax.set_ylim(ymin, ymax)\n",
    "    cax.set_yticks([ymax])\n",
    "    cax.set_yticklabels([ymax], va='top', ha=\"left\",minor=False)\n",
    "    cax.tick_params(axis=\"y\",direction=\"in\",pad=-3)    \n",
    "print(cax.get_ylim())\n",
    "\n",
    "cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "cax.set_xlim(0,3*clr_width)\n",
    "\n",
    "for s,e in zip(*gene_track_to_intervals(genp)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\");\n",
    "for s,e in zip(*gene_track_to_intervals(genm)):\n",
    "    if e-s>1:\n",
    "        cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\");\n",
    "cax.set_ylim(1-0.25,1+0.25)\n",
    "cax.set_yticks([])\n",
    "\n",
    "\n",
    "xticks = np.linspace(0,3*clr_width,4)\n",
    "cax.set_xticks(xticks)\n",
    "\n",
    "def nice_bp(bp):\n",
    "    if bp > 1_000_000:\n",
    "        return f\"{(bp/1_000_000):.2f} Mb\"\n",
    "    elif bp > 1_000:\n",
    "        return f\"{(bp/1_000):.2f} kb\"\n",
    "    else:\n",
    "        return f\"{int(bp)} b\"\n",
    "\n",
    "\n",
    "cax.set_xticklabels(\n",
    "    [\n",
    "        nice_bp((clr.offset((chrom,start,end)) + (xt/3.0))*clr.binsize) for xt in xticks\n",
    "    ]\n",
    ")\n",
    "\n",
    "for ii,label in enumerate(cax.xaxis.get_majorticklabels()):\n",
    "    if ii==0:\n",
    "        label.set_ha(\"left\")\n",
    "    elif ii<3:\n",
    "        label.set_ha(\"center\")\n",
    "    else:\n",
    "        label.set_ha(\"right\")\n",
    "\n",
    "plt.savefig(f\"latest_greates3_r2.pdf\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "latest_greates1_r2.pdf                        100%  122KB   2.4MB/s   00:00    \n",
      "latest_greates2_r2.pdf                        100%  178KB 981.2KB/s   00:00    \n",
      "latest_greates3_r2.pdf                        100%  120KB   2.9MB/s   00:00    \n"
     ]
    }
   ],
   "source": [
    "! scp latest_greates1_r2.pdf ghpcc:/nl/umw_job_dekker/users/sv49w/ALV2021/\n",
    "! scp latest_greates2_r2.pdf ghpcc:/nl/umw_job_dekker/users/sv49w/ALV2021/\n",
    "! scp latest_greates3_r2.pdf ghpcc:/nl/umw_job_dekker/users/sv49w/ALV2021/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# f,ax = plt.subplots(figsize=(19,10))\n",
    "# extent = [c*binsize for c in clr.extent(region)]\n",
    "\n",
    "# ax.imshow(\n",
    "#     rotate_hm(mat),\n",
    "# #     norm=colors.Normalize(vmin=0.0001,vmax=0.003),\n",
    "#     norm=colors.LogNorm(vmin=0.0001,vmax=0.008),\n",
    "#     cmap=\"YlOrBr\",\n",
    "#     interpolation=\"none\",\n",
    "#     # extent=(*extent, *extent[::-1])\n",
    "# )\n",
    "# ax.set_xticks([])\n",
    "# ax.set_yticks([])\n",
    "\n",
    "# divider = make_axes_locatable(ax)\n",
    "\n",
    "# for s,track in vecs.items():\n",
    "#     cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "#     cax.set_xlim(0,3*clr_width)\n",
    "#     cax.fill_between(x=np.arange(len(track)), y1=track, y2=0, step=\"post\")\n",
    "#     cax.set_xticks([])\n",
    "#     if samples[s][\"norm\"] is not None:\n",
    "#         cax.set_yscale(\"log\")\n",
    "#     ymin,ymax = samples[s][\"crange\"]\n",
    "#     cax.set_ylim(ymin, ymax)\n",
    "    \n",
    "# cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "# cax.set_xlim(0,3*clr_width)\n",
    "\n",
    "# for s,e in zip(*gene_track_to_intervals(genp)):\n",
    "#     if e-s>1:\n",
    "#         cax.arrow(s,1+.1,e-s,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"red\")\n",
    "# for s,e in zip(*gene_track_to_intervals(genm)):\n",
    "#     if e-s>1:\n",
    "#         cax.arrow(e,1-.1,s-e,0,width=0.05, head_width=0.05, head_length=5, edgecolor=\"none\",color=\"blue\")\n",
    "# cax.set_ylim(1-0.25,1+0.25)\n",
    "\n",
    "# # cax.plot(genp)\n",
    "# format_ticks(cax, x=True, y=False, rotate=False)\n",
    "\n",
    "# # cax = divider.append_axes(\"bottom\", size=\"15%\", pad=0.1)\n",
    "# # cax.set_xlim(0,2*clr_width)\n",
    "# # cax.plot(genm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(mat.flatten(),bins=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "chrom=\"chr1\"\n",
    "start=153_305_956\n",
    "end=153_705_104\n",
    "bbi.fetch(\n",
    "    fname = samples[\"ins_CTCF_500M\"][\"fname\"],\n",
    "    chrom,\n",
    "    start,\n",
    "    end,\n",
    "    bins=3000,\n",
    "    missing=0.0,\n",
    "    oob=np.nan,\n",
    "    summary='mean',\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# key features/signals that we want to extract for our genes ...\n",
    "key_features  = [\n",
    "                \"ins_noTIR1_500M\",  # 500M reads to make em equally-deep\n",
    "                \"ins_CTCF_500M\",  # 500M reads to make em equally-deep\n",
    "                \"ins_noCTCF_500M\",  # 500M reads to make em equally-deep\n",
    "                \"ins_WT_combined\",  # ~800M\n",
    "                \"ins_polII_800M\",  # 800M to make it match  ins_WT_combined\n",
    "                \"ins_nopolII_800M\",  # 800M to make it match  ins_WT_combined\n",
    "                \"ins_rad21\",\n",
    "                \"ins_norad21\",\n",
    "                \"ins_waplWT\",\n",
    "                \"ins_waplKO1\",\n",
    "                \"ins_waplKO3\",\n",
    "                \"Rloop_K562\",\n",
    "                \"rad21_CTCF\",\n",
    "                \"rad21_noCTCF\",\n",
    "                \"rad21_wt1\",\n",
    "                \"rad21_rad21\",\n",
    "                \"rad21_norad21\",\n",
    "                \"newrad21_PolII\",\n",
    "                \"newrad21_noPolII\",\n",
    "                ]\n",
    "\n",
    "profiles_dict = {}\n",
    "\n",
    "# group genes by expression and size before extracting corresponding profiles of a list of features :\n",
    "gene_groups = gdf.groupby([\"status\",\"gsize\"])\n",
    "for feature_name in key_features:\n",
    "    print(f\"extracting {feature_name} for the genes ...\")\n",
    "    feature_fname = samples[feature_name][\"fname\"]\n",
    "    profiles_dict[feature_name] = gene_groups.apply( lambda sub_df: extract_ins(sub_df, feature_fname) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # checking sequencing depth of several samples ...\n",
    "# !cooler info all_combined.mcool::/resolutions/25000 | grep sum\n",
    "# !cooler info all_combined.mcool::/resolutions/25000 | grep nnz\n",
    "# !cooler info noCTCF_IAA_combined.mcool::/resolutions/25000 | grep sum\n",
    "# !cooler info noCTCF_IAA_combined.mcool::/resolutions/25000 | grep nnz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "Rectangle?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Rectangle(xy, width, height, angle=0.0, **kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "www  = np.array([10,7,4,4,2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.patches import Rectangle\n",
    "\n",
    "#define Matplotlib figure and axis\n",
    "fig, ax = plt.subplots(figsize=(5,5))\n",
    "ax.set_xlim(0,www.sum())\n",
    "ax.set_ylim(0,www.sum())\n",
    "\n",
    "# #create simple line plot\n",
    "# ax.plot([0, 10],[0, 10])\n",
    "\n",
    "\n",
    "y = 0\n",
    "for wy in www:\n",
    "    x = 0\n",
    "    for wx in www:\n",
    "        #add rectangle to plot\n",
    "        c = \"red\" if x==y else \"blue\"\n",
    "        lw = 2 if x==y else 1\n",
    "        rect = Rectangle((x, y), wx, wy, fill=False, color=c, lw=lw)\n",
    "        ax.add_patch(rect)\n",
    "        x += wx\n",
    "    y += wy\n",
    "        \n",
    "\n",
    "\n",
    "\n",
    "# x,y = 0,0\n",
    "# for w in www:\n",
    "#     #add rectangle to plot\n",
    "#     rect = Rectangle((x, y), w, w, fill=False, color=\"blue\")\n",
    "#     ax.add_patch(rect)\n",
    "#     x += w\n",
    "#     y += w\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}