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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="author" content="Joe Brown" />
<title>bedqc</title>
<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Fraunces&display=swap" />
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" />
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/font/bootstrap-icons.css" />
<link rel="stylesheet"
href="https://cdn.datatables.net/v/bs5/dt-1.11.3/b-2.2.1/b-html5-2.2.1/fh-3.2.1/datatables.min.css" />
<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"></script>
<script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjs/10.0.2/math.min.js"></script>
<script src="https://cdn.datatables.net/v/bs5/dt-1.11.3/b-2.2.1/b-html5-2.2.1/fh-3.2.1/datatables.min.js"></script>
<script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script>
<script src="https://biowasm.com/cdn/v3/aioli.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/PapaParse/5.3.1/papaparse.min.js"></script>
<style>
body {
height: 100vh;
margin: 0px;
padding: 0px;
}
footer {
min-height: 200px;
}
.brand {
font-family: "Fraunces", serif;
font-size: 3rem;
letter-spacing: -0.05em;
color: #d91e30 !important;
}
.form-control-lg {
font-size: 2rem;
}
.form-control-lg::file-selector-button {
min-height: 120px;
}
.input-group-display {
min-height: 122px;
}
#url-upload {
font-size: 2rem;
width: 155px;
}
#url-input {
font-size: 2rem;
}
label {
cursor: pointer;
}
.dataTable>thead>tr>th[class*="sort"]:before,
.dataTable>thead>tr>th[class*="sort"]:after {
content: "" !important;
}
div.dataTables_wrapper div.dataTables_info {
padding-top: 0 !important;
}
.info-card {
min-height: 165px;
}
.plot-card {
min-height: 362px;
}
.tab-content>.tab-pane:not(.active),
.pill-content>.pill-pane:not(.active) {
display: block;
height: 0;
overflow-y: hidden;
}
table {
white-space: pre;
font-size: 1.2rem;
}
.btn-circle {
width: 18px;
height: 18px;
text-align: center;
padding: 4px 0;
font-size: 14px;
line-height: 0.5;
border-radius: 15px;
font-weight: bold;
}
.text-primary code {
color: rgba(var(--bs-primary-rgb), var(--bs-text-opacity)) !important;
}
.btn-floating {
line-height: 1.95;
font-size: 1.4rem;
}
.feature-icon {
font-size: 3rem;
}
</style>
</head>
<nav>
<div class="px-4 py-5 my-5 text-center">
<h1 class="display-5 fw-bold brand">bedqc</h1>
<div class="col-lg-6 mx-auto">
<p class="lead mb-4">A tool to validate and profile genomic intervals in BED format.</p>
</div>
<div class="col-12 col-lg-8 mx-auto p-3">
<div class="" id="local-file-upload">
<input class="form-control form-control-lg" type="file" id="file-upload" />
</div>
<div class="" id="remote-file-upload" hidden>
<div class="input-group input-group-display">
<button class="btn btn-outline-secondary text-dark" type="button" id="url-upload">Upload</button>
<input type="text" class="form-control" id="url-input"
placeholder="https://GRCh38_refseq_genes.bed">
</div>
</div>
<div class="col-lg-8 mx-auto pt-1 text-muted" hidden>
<button class="btn btn-link p-0 align-baseline" id="local-file-btn">Browse for a local file</button>
or
<button class="btn btn-link p-0 align-baseline" id="remote-file-btn">paste in a URL</button>.
100 MB file size limit.
</div>
</div>
<div class="col-lg-8 mx-auto text-danger pt-2" id="file-size-warning" hidden></div>
</div>
<div id="introduction">
<div class="container px-4 py-5">
<!-- <h2 class="pb-2 border-bottom">Hanging icons</h2> -->
<div class="row g-4 py-5 row-cols-1 row-cols-lg-3">
<div class="col d-flex align-items-start">
<div class="icon-square text-dark flex-shrink-0 me-3">
<i class="bi bi-lock feature-icon"></i>
</div>
<div>
<h2>Secure processing</h2>
<p>Your files are processed by your browser on your local machine using javascript and tools
from the <a href="https://github.com/biowasm/aioli" class="link-dark">biowasm project</a>.
No data is transferred from your local machine.</p>
</div>
</div>
<div class="col d-flex align-items-start">
<div class="icon-square text-dark flex-shrink-0 me-3">
<i class="bi bi-check2-all feature-icon"></i>
</div>
<div>
<h2>BED validation</h2>
<p>Your file is validated against <a href="https://samtools.github.io/hts-specs/BEDv1.pdf"
class="link-dark">BEDv1 file specifications</a>. File delimiter,
newline character, 0-length intervals, and other common issues are reported.</p>
</div>
</div>
<div class="col d-flex align-items-start">
<div class="icon-square text-dark flex-shrink-0 me-3">
<i class="bi bi-bar-chart-line feature-icon"></i>
</div>
<div>
<h2>Try an example</h2>
<p>We have prepared two examples to discover bedqc features</p>
<ul>
<li>
<button type="button" class="btn btn-link" id="load-example-cgpislands">CpG islands,
GRCh38</button>
</li>
<li>
<button type="button" class="btn btn-link" id="load-example-truncatedexons">Truncated
file, GRCh38</button>
</li>
</ul>
</div>
</div>
</div>
</div>
<div class="container col-xxl-10 px-4 pt-5 pb-0">
<h1 class="display-5 fw-bold lh-1 mb-3">Analyzing your BED file</h1>
</div>
<div class="container col-xxl-10 px-4 py-5">
<div class="row flex-lg-row-reverse align-items-center g-5 py-5">
<div class="col-10 col-sm-12 col-lg-8">
<img src="img/expected.png" class="d-block mx-lg-auto img-fluid" alt="typical interval density"
width="900" height="700" loading="lazy" />
</div>
<div class="col-lg-4">
<h1 class="display-5 fw-bold lh-1 mb-3">Check interval density by chromosome</h1>
<p class="lead">You can look at the interval density or count by chromosome compared to what would
be expected based on the relative length of each chromosome. For example, segmental duplications
have a much higher density than expected on chr16 in the human genome.</p>
</div>
</div>
</div>
<div class="container col-xxl-10 px-4 py-5">
<div class="row flex-lg-row-reverse align-items-center g-5 py-5">
<div class="col-lg-4">
<h1 class="display-5 fw-bold lh-1 mb-3">Find truncated files</h1>
<p class="lead">Use interval counts plot to diagnose truncated or incomplete files based on the
expected chromosomes of a genome build.</p>
</div>
<div class="col-10 col-sm-12 col-lg-8">
<img src="img/truncated.png" class="d-block mx-lg-auto img-fluid" alt="typical interval density"
width="900" height="700" loading="lazy" />
</div>
</div>
</div>
<div class="px-4 py-5 my-5 text-center">
<h1 class="display-5 fw-bold">More complex analyses</h1>
<div class="col-lg-6 mx-auto">
<p class="lead mb-4">For instance, since most annotations will not overlap gaps in the same genome
build, you can use this tool to help determine your file's genome build comparing to gaps from
various builds to find which has the fewest intersecting hits.</p>
</div>
</div>
</div>
<div class="col-lg-8 mx-auto px-2 py-5" id="example-loading" hidden>
<div class="d-flex justify-content-center">
<div class="spinner-border text-dark" role="status">
<span class="visually-hidden">Loading...</span>
</div>
</div>
</div>
</nav>
<div class="offcanvas offcanvas-start" tabindex="-1" id="offcanvas-interval-density"
aria-labelledby="offcanvas-interval-density-label">
<div class="offcanvas-header">
<h5 class="offcanvas-title" id="offcanvas-interval-density-label">Interpreting interval density plots</h5>
<button type="button" class="btn-close text-reset" data-bs-dismiss="offcanvas" aria-label="Close"></button>
</div>
<div class="offcanvas-body">
<div class="row pb-3">
<div class="card-body">
<h3 class="card-subtitle mb-2 text-success">Normal</h3>
<div class="card-img-top" id="interval-density-normal"></div>
<p class="card-text pt-2">Based on the known chromosome length and total interval count, the intervals
are spread evenly among the chromosomes.</p>
</div>
</div>
<div class="row pb-3">
<div class="card-body">
<h3 class="card-subtitle mb-2 text-warning">Potential issue</h3>
<div class="card-img-top" id="interval-density-issue"></div>
<p class="card-text">Unequal distribution among chromosomes could mean a filter has been applied
unevenly or possible file truncation.</p>
</div>
</div>
</div>
</div>
<div class="offcanvas offcanvas-start" tabindex="-1" id="offcanvas-interval-counts"
aria-labelledby="offcanvas-interval-counts-label">
<div class="offcanvas-header">
<h5 class="offcanvas-title" id="offcanvas-interval-counts-label">Interpreting interval count plots</h5>
<button type="button" class="btn-close text-reset" data-bs-dismiss="offcanvas" aria-label="Close"></button>
</div>
<div class="offcanvas-body">
<div class="row pb-3">
<div class="card-body">
<h3 class="card-subtitle mb-2 text-success">Normal</h3>
<div class="card-img-top" id="interval-counts-normal"></div>
<p class="card-text pt-2">Based on the known chromosome length and total interval count, the intervals
are spread evenly among the chromosomes.</p>
</div>
</div>
<div class="row pb-3">
<div class="card-body">
<h3 class="card-subtitle mb-2 text-warning">Potential issue</h3>
<div class="card-img-top" id="interval-counts-issue"></div>
<p class="card-text">Unequal distribution among chromosomes could mean a filter has been applied
unevenly or possible file truncation.</p>
</div>
</div>
</div>
</div>
<div class="offcanvas offcanvas-start" tabindex="-1" id="offcanvas-Intersect"
aria-labelledby="offcanvas-intersect-gap-label">
<div class="offcanvas-header">
<h5 class="offcanvas-title" id="offcanvas-intersect-gap-label">Interpreting intersection plots</h5>
<button type="button" class="btn-close text-reset" data-bs-dismiss="offcanvas" aria-label="Close"></button>
</div>
<div class="offcanvas-body">
<div class="row pb-3">
<div class="card-body">Intersecting a BED with known intervals can help us determine the genome by way of
elimination (using gaps). It can also instruct us whether or not our intervals hit genes, exons, or
introns, which can help sanity check intervals by genome build or per your science question. For
instance, if you assume your intervals are exonic then one would expect zero hits with Ensembl introns.
</div>
</div>
<div class="row pb-3">
<div class="card-body">
<h3 class="card-subtitle mb-2 text-success">Normal</h3>
<div class="card-img-top" id="intersect-gap-normal"></div>
<p class="card-text pt-2">Our intervals, in the case of intersecting with Gaps, do not overlap
structures like telomeres and centromeres of the selected genome build, suggesting the selected
genome build is <span class="fw-bold fst-italic">not incorrect</span>.</p>
</div>
</div>
<div class="row pb-3">
<div class="card-body">
<h3 class="card-subtitle mb-2 text-warning">Potential issue</h3>
<div class="card-img-top" id="intersect-gap-issue"></div>
<p class="card-text">If we intersect our intervals with Gaps and observe many overlaps, our intervals
may not be from the selected genome build as we usually anticipate little overlap with centromeres.
</p>
</div>
</div>
</div>
</div>
<main class="container-fluid" id="content"></main>
<div class="container">
<footer class="d-flex flex-wrap justify-content-between align-items-center">
<div class="col-md-4 d-flex align-items-center">
<!-- <a class="navbar-brand brand d-flex align-items-center mb-md-0 me-md-auto text-decoration-none" -->
<!-- href="https://github.com/quinlan-lab/bedqc">bedqc</a> -->
<!-- <span class="text-muted">© 2021</span> -->
</div>
<!-- <ul class="nav col-md-4 justify-content-end list-unstyled d-flex"> -->
<!-- <li class="ms-3"><a class="text-muted" href="https://github.com/quinlan-lab/bedqc"><svg -->
<!-- xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" -->
<!-- class="bi bi-github" viewBox="0 0 16 16"> -->
<!-- <path -->
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</footer>
</div>
<script type="module">
const plot_config = {
displaylogo: false,
toImageButtonOptions: {
format: "svg", // one of png, svg, jpeg, webp
filename: "bedqc",
height: 600,
width: 1200,
scale: 1, // Multiply title/legend/axis/canvas sizes by this factor
},
responsive: true,
};
const aesthetics = {
height: 375,
palette: ["#4e79a7", "#f28e2c", "#e15759", "#76b7b2", "#59a14f", "#edc949", "#af7aa1", "#ff9da7", "#9c755f", "#bab0ab"],
tickfont: {
family: "Courier New, monospace",
size: 16,
color: "#000",
},
labelfont: {
family: "Raleway, sans-serif",
size: 12,
},
};
const sort_alphanum = (a, b) => a.localeCompare(b, "en", { numeric: true });
const build_example_plot = ({ x, o, e, divid, ytitle }) => {
let traces = [{ x: x, y: o, type: "bar", marker: { color: aesthetics.palette[0], line: { color: "black", width: 1 } }, name: "Observed" }];
if (e.length > 0) {
traces.push({ x: x, y: e, type: "scatter", name: "Expected", mode: "markers", marker: { size: 12, symbol: "circle", color: "#f28e2c", line: { color: "rgb(255,255,255)", width: 1 } } });
}
let layout = { height: 200, font: aesthetics.labelfont, padding: { t: 0, r: 0, b: 0 }, margin: { t: 0, r: 0, b: 0 }, xaxis: { automargin: true, type: "category" }, yaxis: { title: ytitle, automargin: true }, legend: { font: { size: 12 } } };
Plotly.newPlot(divid, traces, layout, { staticPlot: true, responsive: true });
};
build_example_plot({
x: ["chr1", "chr2", "chr3"],
o: [0.075, 0.079, 0.06],
e: [0.08, 0.07, 0.06],
divid: "interval-density-normal",
ytitle: "Density",
});
build_example_plot({
x: ["chr1", "chr2", "chr3"],
o: [0.075, 0.13, 0.025],
e: [0.08, 0.07, 0.06],
divid: "interval-density-issue",
ytitle: "Density",
});
build_example_plot({
x: ["chr1", "chr2", "chr3"],
o: [100, 90, 80],
e: [95, 94, 78],
divid: "interval-counts-normal",
ytitle: "Density",
});
build_example_plot({
x: ["chr1", "chr2", "chr3"],
o: [100, 132, 18],
e: [95, 94, 78],
divid: "interval-counts-issue",
ytitle: "Density",
});
build_example_plot({
x: ["chr1", "chr2", "chr3"],
o: [0, 0, 0],
e: [],
divid: "intersect-gap-normal",
ytitle: "Count",
});
build_example_plot({
x: ["chr1", "chr2", "chr3"],
o: [50, 57, 22],
e: [],
divid: "intersect-gap-issue",
ytitle: "Count",
});
const add_plot_div = (track, title, pb = 2) => {
let d = document.getElementById("content");
let exists = document.getElementById(`${track}-row`);
if (!exists) {
d.insertAdjacentHTML(
"beforeend",
`<div class="container-fluid row mx-auto pb-${pb}">
<div class="col-lg-8 mx-auto p-0">
<div class="row" id="${track}-row">
<div class="col-12">
<h5>${title}</h5>
</div>
</div>
<div class="row pt-1" id="${track}-plot-row">
<div class="col-12">
<div id="${track}-plot"></div>
</div>
</div>
</div>
</div>
`
);
}
return Promise.resolve();
};
const add_table_row = ({ title, value, warn, validation }) => {
let divid = title.replace(" ", "-");
let d = document.getElementById("metadata-table");
let exists = document.getElementById(divid);
let text_color = warn ? "text-danger" : "text-primary";
let validation_col = "";
if (validation) {
validation_col = warn ? `<td class="text-danger"><i class="bi bi-exclamation-triangle-fill"></i></td>` : `<td class="text-success"><i class="bi bi-check-circle-fill"></i></td>`;
}
if (!exists) {
d.insertAdjacentHTML(
"beforeend",
`<tr>
<td>${title}</td>
<td id="${divid}" class="${text_color}"><pre>${value}</pre></td>
${validation_col}
</tr>`
);
} else {
$(`#${divid}`).html(value);
}
};
let CLI = await new Aioli("bedtools/2.29.2", { printInterleaved: false });
const output = await CLI.exec("bedtools --version");
console.log(`Loaded ${output.stdout}`);
const strip_prefix = (str) => {
if (str.startsWith("chr")) {
return str.slice(3);
}
return str;
};
let chromosome_lengths = {};
let prefix = true;
const to_title = (str) => {
return str.replace(/\w\S*/g, (txt) => {
return txt.charAt(0).toUpperCase() + txt.substr(1).toLowerCase();
});
};
const scroll_to = (id) => {
const yOffset = -10;
const element = document.getElementById(id);
const y = element.getBoundingClientRect().top + window.pageYOffset + yOffset;
window.scrollTo({ top: y, behavior: "smooth" });
};
const bedtools_intersect = async (genome, track, chromosomes, prefix) => {
let table;
let cmd = "bedtools intersect -sorted";
if (track == "gap") {
table = `${genome}_gap.bed.gz`;
} else if (track.startsWith("Ensembl")) {
cmd += " -u";
if (track.endsWith("whole)")) {
table = `${genome}_ensembl_gene_wholegene.bed.gz`;
} else if (track.endsWith("exon)")) {
table = `${genome}_ensembl_gene_exon.bed.gz`;
} else if (track.endsWith("intron)")) {
table = `${genome}_ensembl_gene_intron.bed.gz`;
} else if (track.endsWith("CDS)")) {
table = `${genome}_ensembl_gene_cds.bed.gz`;
}
} else {
console.log("selected table was not accounted for in `bedtools intersect`");
}
let remote_file = `bedqc.s3.amazonaws.com/${table}`;
if (!global_data.chr_prefix) {
remote_file = remote_file.replace(".bed.gz", "_noprefix.bed.gz");
}
try {
await CLI.mount(`https://${remote_file}`);
} catch (error) {
console.log("file likely already exists. ignoring error.");
console.error(error);
}
// console.log("ls:", await CLI.ls("."));
// intersect user upload and UCSC track
let o = await CLI.exec(`${cmd} -a a.bed -b ${remote_file.replace("/", "-")}`);
o.stdout = o.stdout.split("\n").map((p) => p.split("\t"));
let chr_count = {};
o.stdout.forEach((row) => {
chr_count[row[0]] = (chr_count[row[0]] || 0) + 1;
});
let content = document.getElementById("content");
let idx = global_data.input_test_count;
let primary = $(`#hypothesis-primary-${idx}`).val();
let secondary = $(`#hypothesis-secondary-${idx}`).val();
genome = $(`#hypothesis-genome-${idx}`).val();
let err_msg = o.stderr ? `<div class="col-12 pb-2"><div><code>${o.stderr}</code></div></div>` : "";
content.insertAdjacentHTML(
"beforeend",
`<div class="container-fluid row mx-auto pb-3">
<div class="d-flex col-1 justify-content-end"><code>Out[${idx}]</code></div>
<div class="col-lg-11 p-0">
<div class="d-flex flex-row">
<div class="pe-2">
<h6>${to_title(primary)} ${genome} ${secondary} count</h6>
</div>
<a class="btn btn-primary btn-circle" data-bs-toggle="offcanvas" href="#offcanvas-${primary}" role="button" aria-controls="offcanvas-${primary}">?</a>
</div>
<div class="row pt-1">
${err_msg}
<div class="col-12">
<div id="hypothesis-${idx}-plot"></div>
</div>
</div>
</div>
</div>
`
);
build_bar_plot(
chromosomes,
chromosomes.map((chr) => chr_count[chr]),
"Chromosome",
"Overlap count",
`hypothesis-${idx}-plot`
);
};
const delimiter_string = (sep) => {
if (sep == "\t") {
return "tab";
} else if (sep == " ") {
return "space";
} else {
return sep;
}
};
const newline_string = (nl) => {
if (nl == "\n") {
return "\\n";
} else if (nl == "\r\n") {
return "\\r\\n";
} else {
return `${nl}`;
}
};
const build_input_test = () => {
global_data.input_test_count += 1;
let idx = global_data.input_test_count;
let genome = global_data.previous_genome;
// defaults
let primary = global_data.previous_primary_action;
let secondary = global_data.previous_secondary_action;
let title = `${to_title(primary)} ${genome} ${secondary} count`;
let d = document.getElementById("content");
d.insertAdjacentHTML(
"beforeend",
`<div class="container-fluid row mx-auto pb-2">
<div class="d-flex col-1 text-primary justify-content-end">
<code>In [${idx}]</code>
</div>
<div class="col-lg-11 col-sm-12 bg-light border p-2" id="hypothesis-${idx}-anchor">
<div class="row">
<div class="col">
<div class="form-floating">
<select class="form-select hyp-test" id="hypothesis-primary-${idx}">
<option selected>Calculate interval densities</option>
<option>Calculate interval counts</option>
<option value="Intersect">Overlap intervals with table</option>
</select>
<label for="hypothesis-primary-${idx}">Action</label>
</div>
</div>
<div class="col">
<div class="form-floating">
<select class="form-select hyp-test" id="hypothesis-genome-${idx}">
<option>hg38</option>
<option>hg19</option>
</select>
<label for="hypothesis-genome-${idx}">Genome build</label>
</div>
</div>
<div class="col" id="hypothesis-secondary-wrapper-${idx}" hidden>
<div class="form-floating">
<select class="form-select hyp-test" id="hypothesis-secondary-${idx}">
<option selected>gap</option>
<option>Ensembl gene (whole)</option>
<option>Ensembl gene (exon)</option>
<option>Ensembl gene (intron)</option>
<option>Ensembl gene (CDS)</option>
</select>
<label for="hypothesis-secondary-${idx}">Table</label>
</div>
</div>
<div class="col-1">
<div class="d-grid gap-2">
<button type="button" class="btn btn-primary btn-floating position-relative hyp-test" id="hypothesis-select-action-${idx}">
Run
</button>
</div>
</div>
</div>
<div class="row">
<div class="col-12 py-2 text-secondary" id="hypothesis-blurb-${idx}">
</div>
</div>
</div>
</div>
`
);
$(`#hypothesis-primary-${idx}`).val(global_data.previous_primary_action);
$(`#hypothesis-secondary-${idx}`).val(global_data.previous_secondary_action);
$(`#hypothesis-genome-${idx}`).val(genome);
update_hypothesis_blurb();
if (!global_data.previous_primary_action.startsWith("Calculate")) {
// show all selects
$(`#hypothesis-secondary-wrapper-${idx}`).prop("hidden", false);
}
// 'Run' click
document.getElementById(`hypothesis-select-action-${idx}`).addEventListener("click", run_hypothesis_action);
// select input changes
let elements = document.getElementsByClassName("form-select hyp-test");
Array.from(elements).forEach(function (element) {
element.addEventListener("change", update_hypothesis_blurb);
});
return Promise.resolve();
};
const run_hypothesis_action = async () => {
let idx = global_data.input_test_count;
let action = $(`#hypothesis-primary-${idx}`).val();
let genome = $(`#hypothesis-genome-${idx}`).val();
let track = $(`#hypothesis-secondary-${idx}`).val();
global_data.previous_primary_action = action;
global_data.previous_secondary_action = track;
global_data.previous_genome = genome;
// disable the components of the current test
$(".hyp-test:enabled").prop("disabled", true);
let chromosome_lengths;
jQuery
.getJSON(`https://api.genome.ucsc.edu/list/chromosomes?genome=${genome}`, (d) => {
if (global_data.chr_prefix) {
chromosome_lengths = d.chromosomes;
} else {
// non-chr prefixed chroms
Object.keys(d.chromosomes).map((k) => (chromosome_lengths[k.substring(3)] = d.chromosomes[k]));
}
})
.then(async () => {
let genome_length = 0;
let display_chroms = Object.keys(chromosome_lengths).filter((k) => k.match(/fix|random|alt|Un|hap|MT|M/g) === null);
display_chroms.sort(sort_alphanum);
// length of genome with only primary chromosomes
display_chroms.map((x) => (genome_length += chromosome_lengths[x]));
let content = document.getElementById("content");
if (action == "Calculate interval densities") {
content.insertAdjacentHTML(
"beforeend",
`<div class="container-fluid row mx-auto pb-3">
<div class="d-flex col-1 justify-content-end"><code>Out[${idx}]</code></div>
<div class="col-lg-11 p-0">
<div class="d-flex flex-row">
<div class="pe-2">
<h6>Interval density across ${genome}</h6>
</div>
<a class="btn btn-primary btn-circle" data-bs-toggle="offcanvas" href="#offcanvas-interval-density" role="button" aria-controls="offcanvas-interval-density">?</a>
</div>
<div class="row pt-1">
<div class="col-12">
<div id="hypothesis-${idx}-plot"></div>
</div>
</div>
</div>
</div>
`
);
build_bar_plot(
display_chroms,
display_chroms.map((k) => global_data.chr_interval_count[k] / global_data.interval_count_filtered),
"Chromosome",
"Density",
`hypothesis-${idx}-plot`,
{
x: display_chroms,
y: display_chroms.map((x) => chromosome_lengths[x] / genome_length),
type: "scatter",
name: "Expected",
mode: "markers",
marker: {
size: 12,
symbol: "circle",
color: "#f28e2c",
line: {
color: "rgb(255,255,255)",
width: 1,
},
},
}
);
build_input_test();
} else if (action == "Calculate interval counts") {
content.insertAdjacentHTML(
"beforeend",
`<div class="container-fluid row mx-auto pb-3">
<div class="d-flex col-1 justify-content-end"><code>Out[${idx}]</code></div>
<div class="col-lg-11 p-0">
<div class="d-flex flex-row">
<div class="pe-2">
<h6>Interval counts across ${genome}</h6>
</div>
<a class="btn btn-primary btn-circle" data-bs-toggle="offcanvas" href="#offcanvas-interval-counts" role="button" aria-controls="offcanvas-interval-counts">?</a>
</div>
<div class="row pt-1">
<div class="col-12">
<div id="hypothesis-${idx}-plot"></div>
</div>
</div>
</div>
</div>
`
);
build_bar_plot(
display_chroms,
display_chroms.map((k) => global_data.chr_interval_count[k]),
"Chromosome",
"Count",
`hypothesis-${idx}-plot`,
{
x: display_chroms,
y: display_chroms.map((k) => global_data.interval_count_filtered * (chromosome_lengths[k] / genome_length)),
type: "scatter",
name: "Expected",
mode: "markers",
marker: {
size: 12,
symbol: "circle",
color: "#f28e2c",
line: {
color: "rgb(255,255,255)",
width: 1,
},
},
}
);
build_input_test();
} else if (action == "Intersect") {
await bedtools_intersect(genome, track, display_chroms, global_data.chr_prefix);
build_input_test();
} else {
console.log("Unaccounted for action selected.");
}
scroll_to(`hypothesis-${idx}-anchor`);
});
};
const update_hypothesis_blurb = (event) => {
let idx = global_data.input_test_count;
let filename = typeof global_data.file_obj === "string" || global_data.file_obj instanceof String ? global_data.file_obj.split(/[\\/]/).pop() : global_data.file_obj.name;
let primary = $(`#hypothesis-primary-${idx}`).val();
let secondary = $(`#hypothesis-secondary-${idx}`).val();
let genome = $(`#hypothesis-genome-${idx}`).val();
let str = "";
if (primary.startsWith("Calculate")) {
str = `Select the genome build of ${filename}.`;
// hide the secondary select box
$(`#hypothesis-secondary-wrapper-${idx}`).prop("hidden", true);
} else if (primary == "Intersect") {
$(`#hypothesis-secondary-wrapper-${idx}`).prop("hidden", false);
if (secondary == "gap") {
str = `If your intervals intersect with many gaps across chromosomes, ${genome} may not be the underlying genome build of ${filename}.`;
} else {
str = `Intersect the intervals in ${filename} with Ensembl gene elements.`;
}
}
$(`#hypothesis-blurb-${idx}`).html(str);
};
const update_button = (event) => {
$("#button-alert").prop("hidden", false);
};
let global_data = {};
const build_table = (arr) => {
let content = document.getElementById("content");
content.insertAdjacentHTML(
"beforeend",
`
<div class="container-fluid row mx-auto pb-5">
<div class="col-lg-8 mx-auto px-0">
<div class="row">
<div class="col-12">
<h5>Interval length statistics</h5>
</div>
</div>
<div class="table table-responsive">
<table id="chrom-stats-table" class="table table-sm table-hover" width="100%"></table>
</div>
</div>
</div>
`
);
let cols = [
{ data: "chr", title: "Chromosome", render: $.fn.dataTable.render.text() },
{ data: "min", title: "Minimum", render: $.fn.dataTable.number },
{ data: "max", title: "Maximum", render: $.fn.dataTable.number },
{ data: "mean", title: "Mean", render: $.fn.dataTable.number },
{ data: "median", title: "Median", render: $.fn.dataTable.number },
{ data: "mode", title: "Mode", render: $.fn.dataTable.number },
];
$("#chrom-stats-table").DataTable({
data: arr,
columns: cols,
scrollY: "400px",
scrollX: true,
scrollCollapse: true,
paging: false,
buttons: [
'copyHtml5',
],
// dom: 'rt<"clear">',
dom: '<"top row">rt<"bottom"<"col-12 p-0"i>><"clear">',
infoCallback: (oSettings, iStart, iEnd, iMax, iTotal, sPre) => {
return `
<div class="datatable-info p-2 pb-1 d-flex">
<div class="input-group input-group-sm justify-content-end">
<span class="input-group-text">${iTotal} rows</span>
<button type="button" class="btn btn-sm btn-outline-secondary" id="copy-button">Copy</button>
</div>
</div>
`
},
drawCallback: (settings) => {
document.getElementById("copy-button").addEventListener("click", copy_button_click);
},
order: [[0, "asc"]],
});
};
const copy_button_click = (e) => {
$("#chrom-stats-table").DataTable().button('.buttons-copy').trigger()
}
const process_remote_file = async ({ file }) => {
let bed = [];
let data = {
newline: "\n",
delimiter: "\t",
n_of_fields: [],
missing_data: 0,
interval_count: 0,
interval_length_total: 0,
interval_lengths: [],
chr_interval_length: {},
chr_interval_lengths: {},
filtered_intervals: 0,
zero_length_intervals: 0,
extends_beyond_chr: 0,
chr_prefix: true,
chromosomes: [],
all_chromosomes: [],
};
let url = new URL(file)
try {
await CLI.mount(url.href)
} catch (error) {
console.log("file likely already exists. ignoring error.");
console.error(error);
}
console.log("ls:", await CLI.ls("."));
let o = await CLI.cat(`${url.host}${url.pathname.replaceAll("/", "-")}`)
console.log("o", o)
process_local_file({ file: o, download: false })
}
const process_local_file = async ({ file, download, }) => {
let bed = [];
let file_stream_limit = 1000000
let stream_aborted = false;
let data = {
newline: "\n",
delimiter: "\t",
n_of_fields: [],
missing_data: 0,
interval_count: 0,
interval_length_total: 0,
interval_lengths: [],
chr_interval_length: {},
chr_interval_lengths: {},
filtered_intervals: 0,
zero_length_intervals: 0,
extends_beyond_chr: 0,
chr_prefix: true,
chromosomes: [],
all_chromosomes: [],
};
Papa.parse(file, {
download: download,
skipEmptyLines: "greedy",
header: false,
delimitersToGuess: ["\t", ",", " ", "|", ";", Papa.RECORD_SEP, Papa.UNIT_SEP],
encoding: "utf-8",
step: (res, parser) => {
data.interval_count += 1;
if (data.interval_count == file_stream_limit) {
// add warning that we've stopped file streaming prematurely
$("#file-size-warning").prop("hidden", false);
$("#file-size-warning").html(`File too large. Data streaming stopped at line ${file_stream_limit.toLocaleString()}.`);
stream_aborted = true;
parser.abort();
}