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z#%OfyE}DA)B5Zajl?H{X?|YVH(j~s4@nD0G;z#;L5n*R-?wTK9;k8<8RwJ}`?x+I^ zeTve5z*ONUVX8A?J(gMh=xp$=@pM z+dKrOjU!wT>rag__-PK*$CIfGIbYY5(@-xevr`Hj(|suFPSCv3XwEuTr;S`SFH;T< z()@iAoW7-C2bt&H?RQLoq|Zd#B-Y^8VI_-s0}gmT8#WdU2?CNd;>|ni?6fOsVJ^WY zEu?T5XMA;80)VCPIVMAS-59`*|(*A3l@tU3~+nE;NiPjZfwjkkTnZQxe8cLLm6R2(kB zrp2f9hgHVIQs5sTq?^2VrBPEi1EImbId4Ql0R+LefAHotIli zG1+k!q<3@!4{i{%*~L@tq1f&mv$E~H1z!M`jy4EJbtXwLt_SHE78UxKy-HYlSM30g zfF%eERqd1@3Gsa9Qam##9BEPgMD%z?d;S_OvNHP-B8$5d;{X z8+mw;d!9}d1UXUBKps-VXl|}jw0ucqhLC8}F5s zP!!Pq5#>*NpSLJ)?U8<=c;mc9`A4&)w}5ZmhJFG1z9yLe{o?)t_{)3fE#O=4o?n0g zc>e?7FDIY3fNz~}egS^P{~rK<`Qp3 Date: Mon, 2 Jul 2018 09:22:00 -0500 Subject: [PATCH 03/29] batch.csv is obsolete, replaced by automatic CSVs --- template_analysis/LacI-CAGop-batch.csv | 16 ---------------- 1 file changed, 16 deletions(-) delete mode 100644 template_analysis/LacI-CAGop-batch.csv diff --git a/template_analysis/LacI-CAGop-batch.csv b/template_analysis/LacI-CAGop-batch.csv deleted file mode 100644 index d8f8572..0000000 --- a/template_analysis/LacI-CAGop-batch.csv +++ /dev/null @@ -1,16 +0,0 @@ -Device Id,datapoints,,,log10 Mean,,,Std.Dev. of mean (fold) -,EBFP2,EYFP,mKate,EBFP2,EYFP,mKate,EBFP2,EYFP,mKate -Dox 0.1,52482,109175,119351,4.345084e+00,5.394359e+00,5.609663e+00,1,1,1, -Dox 0.2,42682,88230,95559,4.344227e+00,5.391166e+00,5.606492e+00,1,1,1, -Dox 0.5,40799,85195,92821,4.342561e+00,5.406055e+00,5.622935e+00,1,1,1, -Dox 1.0,35745,74814,81622,4.340866e+00,5.406947e+00,5.630341e+00,1,1,1, -Dox 2.0,39959,83476,91641,4.342808e+00,5.395057e+00,5.628313e+00,1,1,1, -Dox 5.0,47149,97621,108001,4.348411e+00,5.390884e+00,5.627314e+00,1,1,1, -Dox 10.0,44674,91712,100259,4.351312e+00,5.401429e+00,5.622702e+00,1,1,1, -Dox 20.0,48738,95318,104607,4.393307e+00,5.406043e+00,5.639542e+00,1,1,1, -Dox 50.0,45415,75068,82129,4.570854e+00,5.379279e+00,5.659200e+00,1,1,1, -Dox 100.0,52009,79365,87965,4.677907e+00,5.361092e+00,5.669696e+00,1,1,1, -Dox 200.0,63959,86725,96095,4.832942e+00,5.318321e+00,5.663546e+00,1,1,1, -Dox 500.0,80055,93869,107840,5.031924e+00,5.238768e+00,5.749740e+00,1,1,1, -Dox 1000.0,92173,95703,112858,5.198495e+00,5.184191e+00,5.822585e+00,1,1,1, -Dox 2000.0,102262,99465,119276,5.286472e+00,5.147556e+00,5.870413e+00,1,1,1, From 1f475d584ef915cc71d9ded04206c7f3fe15493d Mon Sep 17 00:00:00 2001 From: Cassandra Overney Date: Mon, 2 Jul 2018 11:29:02 -0400 Subject: [PATCH 04/29] Renamed example_assay files --- 01_flow_cytometry/exercises.m | 6 +- 02_flow_compensation/exercises.m | 6 +- ...p_B10_B10_P3.fcs => LacI-CAGop_B10_P3.fcs} | Bin ...p_B11_B11_P3.fcs => LacI-CAGop_B11_P3.fcs} | Bin ...p_B12_B12_P3.fcs => LacI-CAGop_B12_P3.fcs} | Bin ...Gop_B3_B03_P3.fcs => LacI-CAGop_B3_P3.fcs} | Bin ...Gop_B4_B04_P3.fcs => LacI-CAGop_B4_P3.fcs} | Bin ...Gop_B5_B05_P3.fcs => LacI-CAGop_B5_P3.fcs} | Bin ...Gop_B6_B06_P3.fcs => LacI-CAGop_B6_P3.fcs} | Bin ...Gop_B7_B07_P3.fcs => LacI-CAGop_B7_P3.fcs} | Bin ...Gop_B8_B08_P3.fcs => LacI-CAGop_B8_P3.fcs} | Bin ...Gop_B9_B09_P3.fcs => LacI-CAGop_B9_P3.fcs} | Bin ...Gop_C1_C01_P3.fcs => LacI-CAGop_C1_P3.fcs} | Bin ...Gop_C2_C02_P3.fcs => LacI-CAGop_C2_P3.fcs} | Bin ...Gop_C3_C03_P3.fcs => LacI-CAGop_C3_P3.fcs} | Bin ...Gop_C4_C04_P3.fcs => LacI-CAGop_C4_P3.fcs} | Bin ..._A03_P3.fcs => LacI-Hef1a-mkate_A3_P3.fcs} | Bin template_analysis/LacI-CAGop-Fine.mat | Bin 175771 -> 175556 bytes template_analysis/LacI-CAGop-batch.mat | Bin 14390 -> 32293 bytes .../LacI-CAGop_histogramFile.csv | 1680 ++++++++--------- .../LacI-CAGop_statisticsFile.csv | 30 +- template_analysis/batch_template.m | 28 +- template_analysis/plusminus_template.m | 16 +- template_analysis/transfercurve_template.m | 28 +- template_colormodel/CM120312.mat | Bin 7290 -> 7670 bytes 25 files changed, 897 insertions(+), 897 deletions(-) rename example_assay/{LacI-CAGop_B10_B10_P3.fcs => LacI-CAGop_B10_P3.fcs} (100%) rename example_assay/{LacI-CAGop_B11_B11_P3.fcs => LacI-CAGop_B11_P3.fcs} (100%) rename example_assay/{LacI-CAGop_B12_B12_P3.fcs => LacI-CAGop_B12_P3.fcs} (100%) rename example_assay/{LacI-CAGop_B3_B03_P3.fcs => LacI-CAGop_B3_P3.fcs} (100%) rename example_assay/{LacI-CAGop_B4_B04_P3.fcs => LacI-CAGop_B4_P3.fcs} (100%) rename example_assay/{LacI-CAGop_B5_B05_P3.fcs => LacI-CAGop_B5_P3.fcs} (100%) rename example_assay/{LacI-CAGop_B6_B06_P3.fcs => LacI-CAGop_B6_P3.fcs} (100%) rename example_assay/{LacI-CAGop_B7_B07_P3.fcs => LacI-CAGop_B7_P3.fcs} (100%) rename example_assay/{LacI-CAGop_B8_B08_P3.fcs => LacI-CAGop_B8_P3.fcs} (100%) rename example_assay/{LacI-CAGop_B9_B09_P3.fcs => LacI-CAGop_B9_P3.fcs} (100%) rename example_assay/{LacI-CAGop_C1_C01_P3.fcs => LacI-CAGop_C1_P3.fcs} (100%) rename example_assay/{LacI-CAGop_C2_C02_P3.fcs => LacI-CAGop_C2_P3.fcs} (100%) rename example_assay/{LacI-CAGop_C3_C03_P3.fcs => LacI-CAGop_C3_P3.fcs} (100%) rename example_assay/{LacI-CAGop_C4_C04_P3.fcs => LacI-CAGop_C4_P3.fcs} (100%) rename example_assay/{LacI-Hef1a-mkate_A3_A03_P3.fcs => LacI-Hef1a-mkate_A3_P3.fcs} (100%) diff --git a/01_flow_cytometry/exercises.m b/01_flow_cytometry/exercises.m index 6984a31..4114242 100644 --- a/01_flow_cytometry/exercises.m +++ b/01_flow_cytometry/exercises.m @@ -15,10 +15,10 @@ % Examples of flow data (Fig1 to Fig4) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % pure scatter - often hard to interpret -fcs_scatter([dosedata 'LacI-CAGop_C4_C04_P3.fcs'],'PE-Tx-Red-YG-A','Pacific Blue-A',0,[0 0; 6 6],1); % Fig1 +fcs_scatter([dosedata 'LacI-CAGop_C4_P3.fcs'],'PE-Tx-Red-YG-A','Pacific Blue-A',0,[0 0; 6 6],1); % Fig1 fcs_scatter([colordata '07-29-11_EYFP_P3.fcs'],'FITC-A','Pacific Blue-A',0,[0 0; 6 6],1); % Fig2 % smoothed density plot omits details but often summarizes collective better -data1 = fcs_scatter([dosedata 'LacI-CAGop_C4_C04_P3.fcs'],'PE-Tx-Red-YG-A','Pacific Blue-A',1,[0 0; 6 6],1); % Fig3 +data1 = fcs_scatter([dosedata 'LacI-CAGop_C4_P3.fcs'],'PE-Tx-Red-YG-A','Pacific Blue-A',1,[0 0; 6 6],1); % Fig3 data2 = fcs_scatter([colordata '07-29-11_EYFP_P3.fcs'],'FITC-A','Pacific Blue-A',1,[0 0; 6 6],1); % Fig4 % Things to notice: @@ -82,7 +82,7 @@ filtered = read_filtered_au(CM,[colordata '07-29-11_EYFP_P3.fcs']); % applies any filters set in ColorModel CM = set_dequantization(CM,true); % dequantization adds noise to spread the data out more, especially useful at low levels -[dequantized hdr] = read_filtered_au(CM,[dosedata 'LacI-CAGop_C4_C04_P3.fcs']); +[dequantized hdr] = read_filtered_au(CM,[dosedata 'LacI-CAGop_C4_P3.fcs']); xc = dequantized(:,10); yc = dequantized(:,11); pos = xc>0 & yc>0; figure; smoothhist2D(log10([xc(pos) yc(pos)]),10,[200, 200],[],'image',[0 0; 6 6]); % Fig5 diff --git a/02_flow_compensation/exercises.m b/02_flow_compensation/exercises.m index 508e216..571ee1f 100644 --- a/02_flow_compensation/exercises.m +++ b/02_flow_compensation/exercises.m @@ -114,8 +114,8 @@ CM = set_ERF_channel_name(CM, 'FITC-A'); % We'll explain this in the next exercise % Now let's read some files... -raw = read_filtered_au(CM,[dosedata 'LacI-CAGop_C3_C03_P3.fcs']); -compensated = readfcs_compensated_au(CM,[dosedata 'LacI-CAGop_C3_C03_P3.fcs'],0,1); +raw = read_filtered_au(CM,[dosedata 'LacI-CAGop_C3_P3.fcs']); +compensated = readfcs_compensated_au(CM,[dosedata 'LacI-CAGop_C3_P3.fcs'],0,1); % You should see an error: need to "resolve" the color model first! Comment % out above line of code and run again. @@ -159,7 +159,7 @@ % even when it can be compensated for. -compensated = readfcs_compensated_au(CM,[dosedata 'LacI-CAGop_C3_C03_P3.fcs'],0,1); +compensated = readfcs_compensated_au(CM,[dosedata 'LacI-CAGop_C3_P3.fcs'],0,1); % The last two arguments are: % 1) Whether to add autofluorescence back in after reading (generally not done) % 2) Whether to map all values <= 0 to 1 (which is zero on the log scale) diff --git a/example_assay/LacI-CAGop_B10_B10_P3.fcs b/example_assay/LacI-CAGop_B10_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_B10_B10_P3.fcs rename to example_assay/LacI-CAGop_B10_P3.fcs diff --git a/example_assay/LacI-CAGop_B11_B11_P3.fcs b/example_assay/LacI-CAGop_B11_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_B11_B11_P3.fcs rename to example_assay/LacI-CAGop_B11_P3.fcs diff --git a/example_assay/LacI-CAGop_B12_B12_P3.fcs b/example_assay/LacI-CAGop_B12_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_B12_B12_P3.fcs rename to example_assay/LacI-CAGop_B12_P3.fcs diff --git a/example_assay/LacI-CAGop_B3_B03_P3.fcs b/example_assay/LacI-CAGop_B3_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_B3_B03_P3.fcs rename to example_assay/LacI-CAGop_B3_P3.fcs diff --git a/example_assay/LacI-CAGop_B4_B04_P3.fcs b/example_assay/LacI-CAGop_B4_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_B4_B04_P3.fcs rename to example_assay/LacI-CAGop_B4_P3.fcs diff --git a/example_assay/LacI-CAGop_B5_B05_P3.fcs b/example_assay/LacI-CAGop_B5_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_B5_B05_P3.fcs rename to example_assay/LacI-CAGop_B5_P3.fcs diff --git a/example_assay/LacI-CAGop_B6_B06_P3.fcs b/example_assay/LacI-CAGop_B6_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_B6_B06_P3.fcs rename to example_assay/LacI-CAGop_B6_P3.fcs diff --git a/example_assay/LacI-CAGop_B7_B07_P3.fcs b/example_assay/LacI-CAGop_B7_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_B7_B07_P3.fcs rename to example_assay/LacI-CAGop_B7_P3.fcs diff --git a/example_assay/LacI-CAGop_B8_B08_P3.fcs b/example_assay/LacI-CAGop_B8_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_B8_B08_P3.fcs rename to example_assay/LacI-CAGop_B8_P3.fcs diff --git a/example_assay/LacI-CAGop_B9_B09_P3.fcs b/example_assay/LacI-CAGop_B9_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_B9_B09_P3.fcs rename to example_assay/LacI-CAGop_B9_P3.fcs diff --git a/example_assay/LacI-CAGop_C1_C01_P3.fcs b/example_assay/LacI-CAGop_C1_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_C1_C01_P3.fcs rename to example_assay/LacI-CAGop_C1_P3.fcs diff --git a/example_assay/LacI-CAGop_C2_C02_P3.fcs b/example_assay/LacI-CAGop_C2_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_C2_C02_P3.fcs rename to example_assay/LacI-CAGop_C2_P3.fcs diff --git a/example_assay/LacI-CAGop_C3_C03_P3.fcs b/example_assay/LacI-CAGop_C3_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_C3_C03_P3.fcs rename to example_assay/LacI-CAGop_C3_P3.fcs diff --git a/example_assay/LacI-CAGop_C4_C04_P3.fcs b/example_assay/LacI-CAGop_C4_P3.fcs similarity index 100% rename from example_assay/LacI-CAGop_C4_C04_P3.fcs rename to example_assay/LacI-CAGop_C4_P3.fcs diff --git a/example_assay/LacI-Hef1a-mkate_A3_A03_P3.fcs b/example_assay/LacI-Hef1a-mkate_A3_P3.fcs similarity index 100% rename from example_assay/LacI-Hef1a-mkate_A3_A03_P3.fcs rename to example_assay/LacI-Hef1a-mkate_A3_P3.fcs diff --git a/template_analysis/LacI-CAGop-Fine.mat b/template_analysis/LacI-CAGop-Fine.mat index fc674fa7d78ae293aba24e53b3bdfc743df4704b..be6b90cc897c2bfa552978f166294ccae17f59d7 100644 GIT binary patch literal 175556 zcma%iLy#^^)9e}Bwr$(CZQEyTd*+O7+qP{R&)7Ep_gmckt>}!Xj*jk4EwU>+TTVz- 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+,11220000,208,88,3050 +,14130000,112,47,2539 +,17780000,73,26,2178 +,22390000,43,17,1768 +,28180000,20,7,1518 +,35480000,7,7,1085 +,44670000,3,4,764 +,56230000,2,1,521 +,70790000,0,0,381 +,89130000,0,0,225 +,112200000,0,0,147 +,141300000,0,0,106 +,177800000,0,0,58 +,223900000,0,0,28 +,281800000,0,0,20 +,354800000,0,0,9 +,446700000,0,0,2 +,562300000,0,0,1 +,707900000,0,0,0 +,891300000,0,0,0 +,1122000000,0,0,0 +,1413000000,0,0,0 +,1778000000,0,0,0 +,2239000000,0,0,0 +,2818000000,0,0,0 +,3548000000,0,0,0 +,4467000000,0,0,0 +,5623000000,0,0,0 +,7079000000,0,0,0 +,8913000000,0,0,0 diff --git a/template_analysis/LacI-CAGop_statisticsFile.csv b/template_analysis/LacI-CAGop_statisticsFile.csv index 5360a65..fedb858 100644 --- a/template_analysis/LacI-CAGop_statisticsFile.csv +++ b/template_analysis/LacI-CAGop_statisticsFile.csv @@ -1,15 +1,15 @@ -Id,BinCount_EYFP_MEFL,BinCount_mKate_MEFL,BinCount_EBFP2_MEFL,GeoMean_EYFP_MEFL,GeoMean_mKate_MEFL,GeoMean_EBFP2_MEFL,GeoStdDev_EYFP_MEFL,GeoStdDev_mKate_MEFL,GeoStdDev_EBFP2_MEFL -Dox 0.1,52543,109303,119534,22166.3892127889,249505.506639999,411999.810945553,1.60084886418747,6.76458209037627,8.11197502902936 -Dox 0.2,42961,88780,96134,22197.3585165184,248829.70817965,409394.898134347,1.5995070299618,6.86183513588093,8.13315768191834 -Dox 0.5,41068,85629,93335,22115.1197730026,257612.933359406,427307.331165168,1.59855221637465,6.86703936713332,8.13649642809853 -Dox 1.0,35885,75014,81850,22051.6025368397,258759.473832509,434883.202135694,1.60343323201745,6.91515508495032,8.22562195437244 -Dox 2.0,40232,83870,92116,22157.0039944486,250987.355176404,432747.679233904,1.60382703945833,6.75567397806102,8.1161867549061 -Dox 5.0,47577,98169,108567,22546.6135362971,248794.832186403,429718.109247681,1.64276006827997,6.8028174325622,8.28125154154586 -Dox 10.0,45162,92315,101005,22816.101591211,254771.721342507,427711.99314504,1.70266995382062,6.75700767951142,8.1256863136358 -Dox 20.0,49316,95836,105151,25395.162349766,257224.545603477,442090.53529095,1.99180114843258,6.76888717898788,8.30694414618095 -Dox 50.0,45606,75244,82319,37917.3791053317,242181.479602933,463724.365537185,3.0573604948584,6.45752985767407,8.41842393115125 -Dox 100.0,52347,79642,88193,48930.3361458285,232755.190533719,474127.864142354,3.68843886902498,6.16925999118782,8.43004507832824 -Dox 200.0,64190,86947,96290,69261.8115521469,210676.507867137,467542.79950384,4.50779976930361,5.86799325713468,8.25341761300255 -Dox 500.0,80463,94229,108153,109356.802892914,175204.602854373,570194.401672882,5.2828897137624,5.27822277454789,8.75049608606087 -Dox 1000.0,92324,95925,113074,159145.647766921,154514.40938562,673960.347664984,5.60321229394227,4.70603829679273,8.59943577186356 -Dox 2000.0,102447,99697,119441,194826.405465652,141750.506571001,749269.588700572,5.57840977677493,4.39004014516118,8.44799549981408 +Id,BinCount_EBFP2_MEFL,BinCount_EYFP_MEFL,BinCount_mKate_MEFL,GeoMean_EBFP2_MEFL,GeoMean_EYFP_MEFL,GeoMean_mKate_MEFL,GeoStdDev_EBFP2_MEFL,GeoStdDev_EYFP_MEFL,GeoStdDev_mKate_MEFL,GMM_Component1_Mean_EBFP2_MEFL,GMM_Component2_Mean_EBFP2_MEFL,GMM_Component1_Mean_EYFP_MEFL,GMM_Component2_Mean_EYFP_MEFL,GMM_Component1_Mean_mKate_MEFL,GMM_Component2_Mean_mKate_MEFL,GMM_Component1_Std_EBFP2_MEFL,GMM_Component2_Std_EBFP2_MEFL,GMM_Component1_Std_EYFP_MEFL,GMM_Component2_Std_EYFP_MEFL,GMM_Component1_Std_mKate_MEFL,GMM_Component2_Std_mKate_MEFL,GMM_Component1_Weight_EBFP2_MEFL,GMM_Component2_Weight_EBFP2_MEFL,GMM_Component1_Weight_EYFP_MEFL,GMM_Component2_Weight_EYFP_MEFL,GMM_Component1_Weight_mKate_MEFL,GMM_Component2_Weight_mKate_MEFL +Dox 0.1,52541,109291,119524,22170,249500,412000,1.601,6.765,8.112,17947.3362683252,17947.3362683252,41686.9383470336,981747.943019984,48083.9348449729,1210598.13355048,1.17262729784008,1.17262729784008,1.19756749597011,2.04691590227046,1.23029709912384,3.27642325685378,0.5,0.5,0.4195,0.5805,0.3215,0.6785 +Dox 0.2,42957,88776,96130,22200,248800,409400,1.6,6.862,8.133,17988.7091512879,17988.7091512879,41304.7501990161,1009252.88607668,47424.1985260245,1213388.85046498,1.17192548866257,1.17192548866257,1.19486819160792,2.04173794466953,1.22106842167489,3.25536732471636,0.5,0.5,0.4235,0.5765,0.3223,0.6777 +Dox 0.5,41068,85627,93331,22120,257600,427300,1.599,6.867,8.136,17906.0585403529,17906.0585403529,41209.751909733,1004615.79027839,48083.9348449729,1227439.23115841,1.17187152074203,1.17187152074203,1.19751234721868,2.06157908695264,1.23018378979159,3.28851630875983,0.5,0.5,0.4122,0.5878,0.3132,0.6868 +Dox 1.0,35884,75012,81845,22050,258800,434900,1.603,6.915,8.226,17864.8757485205,17864.8757485205,41399.967481973,1023292.99228075,47533.5225942805,1256029.96369488,1.17135894943295,1.17135894943295,1.19698856072794,2.0549440413453,1.22520849688522,3.2839761925048,0.5,0.5,0.4136,0.5864,0.3101,0.6899 +Dox 2.0,40228,83867,92109,22160,251000,432800,1.604,6.756,8.116,17906.0585403529,17906.0585403529,41686.9383470336,986279.48563121,47424.1985260245,1224616.19926505,1.1735997275116,1.1735997275116,1.19536352567372,2.02768271952128,1.22639395167575,3.26136945940879,0.5,0.5,0.4181,0.5819,0.3074,0.6926 +Dox 5.0,47572,98159,108552,22550,248800,429800,1.643,6.803,8.281,18113.400926196,265460.556197554,41304.7501990161,988553.094656939,47206.3041263591,1264736.34747115,1.17839258212882,1.23754215089203,1.19690587854322,2.03798038628706,1.22224987072109,3.29609712177458,0.9979,0.00208,0.4196,0.5804,0.3155,0.6845 +Dox 10.0,45160,92309,101004,22820,254800,427700,1.703,6.757,8.126,18030.1774085957,180717.412601093,41495.4042634363,984011.105761135,47097.7326396953,1210598.13355048,1.18053807877441,1.38995263121335,1.19798119256848,2.02208775840144,1.2184283627084,3.28624546658205,0.992,0.008019,0.4119,0.5881,0.3083,0.6917 +Dox 20.0,49313,95832,105147,25400,257200,442100,1.992,6.769,8.307,18365.3834334835,98401.1105761135,41304.7501990161,1009252.88607668,47206.3041263591,1267651.86585784,1.18907705818097,1.77827941003892,1.19577646091624,1.97287695552572,1.21590599570883,3.35274095848416,0.9397,0.06033,0.4139,0.5861,0.3078,0.6922 +Dox 50.0,45595,75231,82305,37920,242200,463800,3.058,6.458,8.418,18578.044550917,136458.313658892,41304.7501990161,918332.596483581,46881.3382145266,1273503.08101666,1.191516333218,1.97015320721676,1.19583152972531,1.92043671394335,1.22042192167403,3.50267626913813,0.7629,0.2371,0.4158,0.5842,0.2938,0.7062 +Dox 100.0,52342,79636,88188,48930,232800,474200,3.689,6.17,8.43,18923.4361864498,172583.78919902,40926.0659730011,822242.649947071,47643.0986805416,1327394.45772974,1.19704368535755,2.05968117659736,1.19555621103835,1.90985325856624,1.22698710912328,3.42136966135368,0.6792,0.3208,0.4067,0.5933,0.2981,0.7019 +Dox 200.0,64182,86937,96281,69270,210700,467500,4.508,5.868,8.254,19275.2491319094,230144.181740851,41783.0366646622,732824.533138904,48528.8500162121,1306170.88813184,1.19718150803838,2.182729911843,1.19715394223281,1.92043671394335,1.23128900107556,3.30597831070432,0.5791,0.4209,0.4201,0.5799,0.3001,0.6999 +Dox 500.0,80451,94217,108139,109400,175200,570300,5.283,5.278,8.75,19543.394557754,316227.766016838,40271.7034325459,539510.622515128,49203.9535681451,1566751.07010815,1.20143422654464,2.17070096839771,1.19088547969925,1.9350847929379,1.22992888194808,3.42373387626452,0.4608,0.5392,0.4174,0.5826,0.281,0.719 +Dox 1000.0,92313,95917,113064,159200,154500,674000,5.603,4.706,8.599,20464.4463672467,407380.277804113,40550.8535448383,402717.03432546,53210.8259266794,1725837.8919902,1.21149046392586,2.08593129583112,1.19302625137364,1.92486377778253,1.25765059321642,3.33733651305149,0.3769,0.6231,0.4017,0.5983,0.2601,0.7399 +Dox 2000.0,102435,99685,119424,194800,141700,749400,5.579,4.39,8.448,22029.2646305346,485288.500162121,42169.6503428582,363915.036127207,54701.5962893972,1828100.21614274,1.23148747740937,1.91646106273539,1.20331685511764,1.84119590368765,1.26911214444519,3.2351915531421,0.3486,0.6514,0.4211,0.5789,0.2456,0.7544 diff --git a/template_analysis/batch_template.m b/template_analysis/batch_template.m index 9d48604..decdf09 100644 --- a/template_analysis/batch_template.m +++ b/template_analysis/batch_template.m @@ -30,20 +30,20 @@ % Make a map of condition names to file sets stem1011 = '../example_assay/LacI-CAGop_'; file_pairs = {... - 'Dox 0.1', {[stem1011 'B3_B03_P3.fcs']}; % Replicates go here, e.g., {[rep1], [rep2], [rep3]} - 'Dox 0.2', {[stem1011 'B4_B04_P3.fcs']}; - 'Dox 0.5', {[stem1011 'B5_B05_P3.fcs']}; - 'Dox 1.0', {[stem1011 'B6_B06_P3.fcs']}; - 'Dox 2.0', {[stem1011 'B7_B07_P3.fcs']}; - 'Dox 5.0', {[stem1011 'B8_B08_P3.fcs']}; - 'Dox 10.0', {[stem1011 'B9_B09_P3.fcs']}; - 'Dox 20.0', {[stem1011 'B10_B10_P3.fcs']}; - 'Dox 50.0', {[stem1011 'B11_B11_P3.fcs']}; - 'Dox 100.0', {[stem1011 'B12_B12_P3.fcs']}; - 'Dox 200.0', {[stem1011 'C1_C01_P3.fcs']}; - 'Dox 500.0', {[stem1011 'C2_C02_P3.fcs']}; - 'Dox 1000.0', {[stem1011 'C3_C03_P3.fcs']}; - 'Dox 2000.0', {[stem1011 'C4_C04_P3.fcs']}; + 'Dox 0.1', {[stem1011 'B3_P3.fcs']}; % Replicates go here, e.g., {[rep1], [rep2], [rep3]} + 'Dox 0.2', {[stem1011 'B4_P3.fcs']}; + 'Dox 0.5', {[stem1011 'B5_P3.fcs']}; + 'Dox 1.0', {[stem1011 'B6_P3.fcs']}; + 'Dox 2.0', {[stem1011 'B7_P3.fcs']}; + 'Dox 5.0', {[stem1011 'B8_P3.fcs']}; + 'Dox 10.0', {[stem1011 'B9_P3.fcs']}; + 'Dox 20.0', {[stem1011 'B10_P3.fcs']}; + 'Dox 50.0', {[stem1011 'B11_P3.fcs']}; + 'Dox 100.0', {[stem1011 'B12_P3.fcs']}; + 'Dox 200.0', {[stem1011 'C1_P3.fcs']}; + 'Dox 500.0', {[stem1011 'C2_P3.fcs']}; + 'Dox 1000.0', {[stem1011 'C3_P3.fcs']}; + 'Dox 2000.0', {[stem1011 'C4_P3.fcs']}; }; n_conditions = size(file_pairs,1); diff --git a/template_analysis/plusminus_template.m b/template_analysis/plusminus_template.m index 9dfd8e3..438a883 100755 --- a/template_analysis/plusminus_template.m +++ b/template_analysis/plusminus_template.m @@ -34,16 +34,16 @@ batch_description = {... {'Lows';'BaseDox'; % First set is the matching "plus" conditions - {0.1, {[stem1011 'B9_B09_P3.fcs']}; % Replicates go here, e.g., {[rep1], [rep2], [rep3]} - 0.2, {[stem1011 'B10_B10_P3.fcs']}}; + {0.1, {[stem1011 'B9_P3.fcs']}; % Replicates go here, e.g., {[rep1], [rep2], [rep3]} + 0.2, {[stem1011 'B10_P3.fcs']}}; % Second set is the matching "minus" conditions - {0.1, {[stem1011 'B3_B03_P3.fcs']}; - 0.2, {[stem1011 'B4_B04_P3.fcs']}}}; + {0.1, {[stem1011 'B3_P3.fcs']}; + 0.2, {[stem1011 'B4_P3.fcs']}}}; {'Highs';'BaseDox'; - {10, {[stem1011 'C3_C03_P3.fcs']}; - 20, {[stem1011 'C4_C04_P3.fcs']}}; - {10, {[stem1011 'B9_B09_P3.fcs']}; - 20, {[stem1011 'B10_B10_P3.fcs']}}}; + {10, {[stem1011 'C3_P3.fcs']}; + 20, {[stem1011 'C4_P3.fcs']}}; + {10, {[stem1011 'B9_P3.fcs']}; + 20, {[stem1011 'B10_P3.fcs']}}}; }; % Execute the actual analysis diff --git a/template_analysis/transfercurve_template.m b/template_analysis/transfercurve_template.m index 73e89e5..86d4476 100644 --- a/template_analysis/transfercurve_template.m +++ b/template_analysis/transfercurve_template.m @@ -33,20 +33,20 @@ % Make a map of induction levels to file sets stem1011 = '../example_assay/LacI-CAGop_'; level_file_pairs = {... - 0.1, {[stem1011 'B3_B03_P3.fcs']}; % Replicates go here, e.g., {[rep1], [rep2], [rep3]} - 0.2, {[stem1011 'B4_B04_P3.fcs']}; - 0.5, {[stem1011 'B5_B05_P3.fcs']}; - 1.0, {[stem1011 'B6_B06_P3.fcs']}; - 2.0, {[stem1011 'B7_B07_P3.fcs']}; - 5.0, {[stem1011 'B8_B08_P3.fcs']}; - 10.0, {[stem1011 'B9_B09_P3.fcs']}; - 20.0, {[stem1011 'B10_B10_P3.fcs']}; - 50.0, {[stem1011 'B11_B11_P3.fcs']}; - 100.0, {[stem1011 'B12_B12_P3.fcs']}; - 200.0, {[stem1011 'C1_C01_P3.fcs']}; - 500.0, {[stem1011 'C2_C02_P3.fcs']}; - 1000.0, {[stem1011 'C3_C03_P3.fcs']}; - 2000.0, {[stem1011 'C4_C04_P3.fcs']}; + 0.1, {[stem1011 'B3_P3.fcs']}; % Replicates go here, e.g., {[rep1], [rep2], [rep3]} + 0.2, {[stem1011 'B4_P3.fcs']}; + 0.5, {[stem1011 'B5_P3.fcs']}; + 1.0, {[stem1011 'B6_P3.fcs']}; + 2.0, {[stem1011 'B7_P3.fcs']}; + 5.0, {[stem1011 'B8_P3.fcs']}; + 10.0, {[stem1011 'B9_P3.fcs']}; + 20.0, {[stem1011 'B10_P3.fcs']}; + 50.0, {[stem1011 'B11_P3.fcs']}; + 100.0, {[stem1011 'B12_P3.fcs']}; + 200.0, {[stem1011 'C1_P3.fcs']}; + 500.0, {[stem1011 'C2_P3.fcs']}; + 1000.0, {[stem1011 'C3_P3.fcs']}; + 2000.0, {[stem1011 'C4_P3.fcs']}; }; experiment = Experiment(experimentName,{inducer_name}, level_file_pairs); diff --git 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zHR%2ZWRS2N>?=E(iCtx;12A;aJf3_z$$U+AT1Z67pEQb=cV7;H^JG+>?DxGjiF|&X z^Ku$+VfpRHEwW$Nhs24zUA$JRaNL~<<*odH@h$|$>wfDMGdu0f7RZ@vYf<@YB?1p| zT(~Mp|G(lj zERi~q(yOWsQF-mg5c@O?_k9E$&yOsc^4i4nT1eiFE6!==HIDmr2%INVUKdma!&dtUC z^L*t0&vX6#6M}y`{_y9M`v3p{|NrflT~32Q5XT2fwJ$b(@Bm(be$d4DsBMZd8bh?k z^odZIrW;{tfF|_@Ucd`^8js;_T~aV4tsB#{mQ4nBmi_Ip@ZZTO05D}nod6+icTS8^ z>X^h&FzO>^e^=o=6E9(q7316spD0OU01sm~BC~{qlr2CgKF-ixE?`B3Cii0fIG!dmLd__D{#CSva=FPCLUw!lK41ZL>D;Zt`6+RU?uA=^)Q(5m6hWDN zFMddHTvrC{haSfuug5{pw9 Date: Mon, 2 Jul 2018 14:50:53 -0400 Subject: [PATCH 05/29] Made order to channel names match Found out that the order of channel names for ```per_color_constitutive_analysis``` matters because ```plot_batch_histograms``` no longer requires a separate linespecs parameter. --- template_analysis/batch_template.m | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/template_analysis/batch_template.m b/template_analysis/batch_template.m index decdf09..7b9060f 100644 --- a/template_analysis/batch_template.m +++ b/template_analysis/batch_template.m @@ -49,7 +49,7 @@ n_conditions = size(file_pairs,1); % Execute the actual analysis -[results sampleresults] = per_color_constitutive_analysis(CM,file_pairs,{'EBFP2','EYFP','mKate'},AP); +[results, sampleresults] = per_color_constitutive_analysis(CM,file_pairs,{'EYFP','mKate', 'EBFP2'},AP); % Make output plots TASBEConfig.set('OutputSettings.StemName','LacI-CAGop'); From 5b58de841b348f5c2d19f730a0dec97710d18f7f Mon Sep 17 00:00:00 2001 From: Cassandra Overney Date: Mon, 2 Jul 2018 15:44:48 -0400 Subject: [PATCH 06/29] Added batch_template using tutorial data --- batch_template.xlsx | Bin 35921 -> 37746 bytes batch_template_JHT2.xlsx | Bin 0 -> 35856 bytes 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 batch_template_JHT2.xlsx diff --git a/batch_template.xlsx b/batch_template.xlsx index c6693eba122225484a82d2418ae76e1a5bebbe56..155597ff590d26132e493f044ddec9de4b540f72 100644 GIT binary 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Introduction + +A new feature of the TASBE Flow Analytics package is an Excel wrapper that provides a user-friendly interface between raw FCS data and current TASBE data +analysis tools. Using a template spreadsheet, scientists can document important aspects of their experiments without having to worry about writing Matlab +code. Currently, the template is organized into 4 sheets: +*"Exeriment": includes all of the general experiment information and filename templates +*"Cytometer": includes information to generate a Color Model +*"Samples": includes important information for batch analysis +*"Additional Settings": lists out all of the TASBEConfig preferences not already in the previous sheets + +## User Instructions +An example of the template is located in the TASBEFlowAnalytics-Tutorial titled ```batch_template.xlsx```. This example spreadsheet uses the tutorial +FCS data. The following sections describe specific features for each template sheet. + +### Experiment +*The Data Directory Stem refers to the file path to access the FCS files. +*Filename templates are used to generate the correct FCS filenames without having to type all of them out. Each filename template is separated into numbered sections with some sections being static and some being variable. The variable sections must correspond to a specific column in "Samples". +(i.e. A template of 1_2_3.fcs would have the numbers replaced with the three correct inputs.) + +### Cytometer +*Contains many preferences needed to generate Color Models. +*The Translation Channel Min preference should be in the format of #,#,#. + +### Samples +*The Dox column is used to find the blank, beads, and all files. +*The Template # column determines which filename template table to reference. +*The Sample Name column is important for the samples in batch_analysis +*The File Name columns are used to override filenames from the filename template. (Currently replicates are not considered.) + +### Additional Settings +*To change a preference, input the new value within the Value column. + +### Next Steps +After completing and saving the template spreadsheet, run the function ```analyzeFromExcel``` (located in the code directory of TASBEFlowAnalytics) +with the file path of the spreadsheet as the input. ```analyzeFromExcel``` will then create an Excel object and Color Model and run a batch_analysis. +(You can adjust the position of specific variables in the template using the ```setExcelCoordinates``` function within the ```Excel``` class.) 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z{GS`=%+bPl|GD=B0)q9o^zolZ2O|L#9zCHTnh}hQAVHB3H{mLp4UB^D?jInWbYW4}}U&qB?AxWy9qPuV7cISw7~zel?NnFs>%F7-F=6#~snFpA>`E7nN3 z`AL>AtpSlR5=R4eY5eaHJDw4Y!~Wk-Lwkq>=Xe@Wzl7{~Qrv%cDJTet6Bq~x@_!`? cVvw*NF93G_^Dh#0f_TDrNVdPlBoL7Q1vJGCfdBvi From bf29070cae337ebe918e4a6e63ee1975a807c10b Mon Sep 17 00:00:00 2001 From: coverney Date: Tue, 3 Jul 2018 13:18:32 -0400 Subject: [PATCH 09/29] Formatting changes to ExcelREADME --- Excel_README.md | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/Excel_README.md b/Excel_README.md index 66c2e4c..c008e2c 100644 --- a/Excel_README.md +++ b/Excel_README.md @@ -3,32 +3,32 @@ A new feature of the TASBE Flow Analytics package is an Excel wrapper that provides a user-friendly interface between raw FCS data and current TASBE data analysis tools. Using a template spreadsheet, scientists can document important aspects of their experiments without having to worry about writing Matlab code. Currently, the template is organized into 4 sheets: -*"Exeriment": includes all of the general experiment information and filename templates -*"Cytometer": includes information to generate a Color Model -*"Samples": includes important information for batch analysis -*"Additional Settings": lists out all of the TASBEConfig preferences not already in the previous sheets +* "Exeriment": includes all of the general experiment information and filename templates +* "Cytometer": includes information to generate a Color Model +* "Samples": includes important information for batch analysis +* "Additional Settings": lists out all of the TASBEConfig preferences not already in the previous sheets ## User Instructions An example of the template is located in the TASBEFlowAnalytics-Tutorial titled ```batch_template.xlsx```. This example spreadsheet uses the tutorial FCS data. The following sections describe specific features for each template sheet. ### Experiment -*The Data Directory Stem refers to the file path to access the FCS files. -*Filename templates are used to generate the correct FCS filenames without having to type all of them out. Each filename template is separated into numbered sections with some sections being static and some being variable. The variable sections must correspond to a specific column in "Samples". +* The Data Directory Stem refers to the file path to access the FCS files. +* Filename templates are used to generate the correct FCS filenames without having to type all of them out. Each filename template is separated into numbered sections with some sections being static and some being variable. The variable sections must correspond to a specific column in "Samples". (i.e. A template of 1_2_3.fcs would have the numbers replaced with the three correct inputs.) ### Cytometer -*Contains many preferences needed to generate Color Models. -*The Translation Channel Min preference should be in the format of #,#,#. +* Contains many preferences needed to generate Color Models. +* The Translation Channel Min preference should be in the format of #,#,#. ### Samples -*The Dox column is used to find the blank, beads, and all files. -*The Template # column determines which filename template table to reference. -*The Sample Name column is important for the samples in batch_analysis -*The File Name columns are used to override filenames from the filename template. (Currently replicates are not considered.) +* The Dox column is used to find the blank, beads, and all files. +* The Template # column determines which filename template table to reference. +* The Sample Name column is important for the samples in batch_analysis +* The File Name columns are used to override filenames from the filename template. (Currently replicates are not considered.) ### Additional Settings -*To change a preference, input the new value within the Value column. +* To change a preference, input the new value within the Value column. ### Next Steps After completing and saving the template spreadsheet, run the function ```analyzeFromExcel``` (located in the code directory of TASBEFlowAnalytics) From 2316081d8d0aeabc52ce98219d83c32dfcd9b4f9 Mon Sep 17 00:00:00 2001 From: coverney Date: Tue, 3 Jul 2018 14:59:01 -0400 Subject: [PATCH 10/29] Updated Excel_README added replicate information --- Excel_README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/Excel_README.md b/Excel_README.md index c008e2c..95db341 100644 --- a/Excel_README.md +++ b/Excel_README.md @@ -25,7 +25,8 @@ FCS data. The following sections describe specific features for each template sh * The Dox column is used to find the blank, beads, and all files. * The Template # column determines which filename template table to reference. * The Sample Name column is important for the samples in batch_analysis -* The File Name columns are used to override filenames from the filename template. (Currently replicates are not considered.) +* The File Name columns are used to override filenames from the filename template. +* Information for each replicate should be in the same row with commas separating the values (i.e. sample locations for three replicates could look like A1,A2,A3). ### Additional Settings * To change a preference, input the new value within the Value column. 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Fixed a typo in the old plusminus template in response to a dimension mismatch error when running ```process_plusminus_batch```. --- template_analysis/plusminus_template.m | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/template_analysis/plusminus_template.m b/template_analysis/plusminus_template.m index c1db3bb..3d4bd1b 100755 --- a/template_analysis/plusminus_template.m +++ b/template_analysis/plusminus_template.m @@ -38,9 +38,9 @@ {0.1, {[stem1011 'C3_P3.fcs']}; % Replicates go here, e.g., {[rep1], [rep2], [rep3]} 0.2, {[stem1011 'C4_P3.fcs']}}; {0.1, {[stem1011 'B3_P3.fcs']}; - 0.2, {[stem1011 'B4_P3.fcs']}}}; + 0.2, {[stem1011 'B4_P3.fcs']}}; {0.1, {[stem1011 'B9_P3.fcs']}; - 0.2, {[stem1011 'B10_P3.fcs']}}; + 0.2, {[stem1011 'B10_P3.fcs']}}}; {'Highs';'BaseDox';{'+', '-'}; {10, {[stem1011 'C3_P3.fcs']}; 20, {[stem1011 'C4_P3.fcs']}}; From 087cbfa83781d21f20378bfb9fb46d1a11ea4759 Mon Sep 17 00:00:00 2001 From: Cassandra Overney Date: Mon, 9 Jul 2018 16:08:07 -0400 Subject: [PATCH 15/29] Updated batch_template A few changes I made include: - added visual basic to create working Run Buttons - formatting changes - restructured plusminus sheet --- batch_template.xlsm | Bin 0 -> 73936 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 batch_template.xlsm diff --git a/batch_template.xlsm b/batch_template.xlsm new file mode 100644 index 0000000000000000000000000000000000000000..230ffd28b7e655ed39644dfc6944f2d17480eeee GIT binary patch literal 73936 zcmeFY1#=xS({VC$GSyy0r5G6KXf>0PyByTtf;Wv48M1kN($*%mj); zp)4JVG@hhv0&r$c4&0Z^ZEtcXLjTS$rm09bszxnHE_o-go`TfeMHHQ>U&{0d_x16H zzl%&VbVH)LDj>3wIJRQ!-F-i#DKOTc5e|3E*k$`00!hek7%PHr-_tbpZ$exAroZDL z2*9`r;OR0M%0gl+Xc)zgy+E6ND2^Ps1;tpCE1OC<>Gr5Anf~D|N!mdRsxOLTlu+W$ zpaz={9|6y^bRcX+mRQZ6?CiNvHep1#j3w8 z`+{0pg5}wFzNwpK{N|TYH8EH`t%Nwd2U>xS8M0J*Va~XSLZf3K=58&2@CcxYjtu>D z@xcv^o(MR3dCPGTrE~8sHwKYc{*2<(i}kT|BqxnXpRK-NsD z>*c`tyzd6H+QphX=e5^0Sg&B1?BLOKNnk!tsvN 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-TASBEConfig.set('histogram.displayLegend',false); -plot_bin_statistics(sampleresults); +% TASBEConfig.set('histogram.displayLegend',false); +plot_bin_statistics(sampleresults, getInducerLevelsToFiles(experiment,1)); % Plot the relation between inducer and input fluorescence TASBEConfig.set('OutputSettings.DeviceName',inducer_name); From a08ab9c3768d38076fc70ee6033015d0a80fd028 Mon Sep 17 00:00:00 2001 From: Cassandra Overney Date: Thu, 12 Jul 2018 11:08:36 -0400 Subject: [PATCH 17/29] Updated Excel batch_template Removed the outdated Excel files. --- Excel_README.md | 37 ------------------------------------- batch_template.xlsm | Bin 73936 -> 80559 bytes batch_template.xlsx | Bin 42924 -> 0 bytes batch_template_JHT2.xlsx | Bin 34436 -> 0 bytes 4 files changed, 37 deletions(-) delete mode 100644 Excel_README.md delete mode 100644 batch_template.xlsx delete mode 100644 batch_template_JHT2.xlsx diff --git a/Excel_README.md b/Excel_README.md deleted file mode 100644 index 95db341..0000000 --- a/Excel_README.md +++ /dev/null @@ -1,37 +0,0 @@ -# TASBE Flow Analytics Excel Wrapper Introduction - -A new feature of the TASBE Flow Analytics package is an Excel wrapper that provides a user-friendly interface between raw FCS data and current TASBE data -analysis tools. Using a template spreadsheet, scientists can document important aspects of their experiments without having to worry about writing Matlab -code. Currently, the template is organized into 4 sheets: -* "Exeriment": includes all of the general experiment information and filename templates -* "Cytometer": includes information to generate a Color Model -* "Samples": includes important information for batch analysis -* "Additional Settings": lists out all of the TASBEConfig preferences not already in the previous sheets - -## User Instructions -An example of the template is located in the TASBEFlowAnalytics-Tutorial titled ```batch_template.xlsx```. This example spreadsheet uses the tutorial -FCS data. The following sections describe specific features for each template sheet. - -### Experiment -* The Data Directory Stem refers to the file path to access the FCS files. -* Filename templates are used to generate the correct FCS filenames without having to type all of them out. Each filename template is separated into numbered sections with some sections being static and some being variable. The variable sections must correspond to a specific column in "Samples". -(i.e. A template of 1_2_3.fcs would have the numbers replaced with the three correct inputs.) - -### Cytometer -* Contains many preferences needed to generate Color Models. -* The Translation Channel Min preference should be in the format of #,#,#. - -### Samples -* The Dox column is used to find the blank, beads, and all files. -* The Template # column determines which filename template table to reference. -* The Sample Name column is important for the samples in batch_analysis -* The File Name columns are used to override filenames from the filename template. -* Information for each replicate should be in the same row with commas separating the values (i.e. sample locations for three replicates could look like A1,A2,A3). - -### Additional Settings -* To change a preference, input the new value within the Value column. - -### Next Steps -After completing and saving the template spreadsheet, run the function ```analyzeFromExcel``` (located in the code directory of TASBEFlowAnalytics) -with the file path of the spreadsheet as the input. ```analyzeFromExcel``` will then create an Excel object and Color Model and run a batch_analysis. -(You can adjust the position of specific variables in the template using the ```setExcelCoordinates``` function within the ```Excel``` class.) diff --git a/batch_template.xlsm b/batch_template.xlsm index 230ffd28b7e655ed39644dfc6944f2d17480eeee..ba5db10874b413c4f55357c9eb16a41204a3d5a9 100644 GIT binary patch delta 51981 zcmZsCRa9O*ur?HTcXxMpFJ9c;9SRhejh5o>UfkW?-J!Tcad&-BzjN`gbMfC~&ss^I znMt0^N@gdseULQ|khse75RjN)&|t7&U|?imlB`-vbYH;04w36{DZT&`j_a(bojAuL zu$|cC*^P<|{VvF|-u4ibA7B~!dgXKpqvuJ(WU}$(va_V8q}VmzwN6I5#m-DvD3k92F+s1%36?H@99KGv6`4ABt1~b@>rEtGSiTg zM38=zM3|b(PL`xUkSKd2iPx#tlnXohaaOnC;{yB77`80GJ_doS3wF3UB9C2|nYvc{ zf|W$)iZ(U|?<|YJls8=NFPKaS3a-pqZA-q@V9TDxPgJ}?>R-JzbEb7gg+V1Tz@@ls 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Using a template spreadsheet, scientists can document important aspects of their experiments without having to worry about writing Matlab code. Currently, the template is organized into 6 sheets: +* "Experiment": includes all of the general experiment information and filename templates +* "Samples": includes important information regarding samples and batch analysis +* "Calibration": includes information to generate a Color Model +* "Comparative Analysis": includes information to run plusminus analysis +* "Transfer Curve Analysis": includes information to run transfer curve analysis +* "Optional Settings": TASBEConfig preferences that should not be changed unless absolutely necessary + +## User Instructions +An example of the template is located in the TASBEFlowAnalytics-Tutorial titled ```batch_template.xlsm```. This example spreadsheet uses the tutorial +FCS data. The code needed to run the template is in the TASBEFlowAnalytics [coverney.excel](https://github.com/TASBE/TASBEFlowAnalytics/tree/coverney.excel) branch. The following sections describe specific features for each template sheet. There are more notes highlighted in green throughout the spreadsheet. + +### Experiment +* Filename templates are used to generate the correct FCS filenames without having to type all of them out. Each filename template is separated into numbered sections with some sections being static and some being variable. The variable sections must correspond to column names in "Samples". +(i.e. A template of 1_2_3.fcs would have the numbers replaced with the three correct inputs.) +* The conditions keys are used to make sure that the values for a certain column name in "Samples" is valid. The keys are used to obtain the sets for plusminus analysis. + +### Samples +* The Sample Name column is necessary for the analysis and needs to be manually filled out. +* Information for each replicate should be in the same row with commas separating the values (i.e. sample locations for three replicates could look like A1,A2,A3). This feature is not applicable to the experimental condition columns. + +### Calibration +* Multiple bead files can be compared by listing out their sample names in the "Sample Name" cell within the "Rainbow Beads" section. (i.e. Beads,Beads2,Beads3). The "Bead Comparison Tolerance" determines how identical you want the bead files to be. The results of the comparisons will be included in the TASBESession located at the bottom of the sheet. +* The "Constitutive/Input/Output" cells within the "Fluorochromes" section are optional for batch analysis but required for plusminus and transfer curve analysis. If this feature will be used, exactly one channel must be marked as Constitutive. The minimum is 2 colors with the second color acting as both the input and output. (It only needs to be labeled as one of the two.) For 3 or more colors, all pairwise combinations between labeled inputs and outputs will be analyzed. Colors not labeled will be ignored. +* The "Relevant Channels" cell within the "Color Translation" section determines which colors to consider when creating the Color Model. A value of "all" means all listed colors will be used. + +### Comparative Analysis +* "Comparison Group(s)" contains sample column name-value pairs that determine which samples in the "Samples" sheet are compared. +* "Comparisons" consist of the required primary comparison sets (i.e. +,-) and the secondary ordering inductions, which are optional. Both the primary and secondary sets are in the form of sample column names for a single plusminus analysis. +* Multiple plusminus analysis can be run as long as the Comparison Groups are aligned with their respective Comparison values. Additional preferences including stem name and plot path are required for each analysis. + +### Transfer Curve Analysis +* "Comparison Group(s)" contains sample column name-value pairs that determine which samples in the "Samples" sheet are analyzed. Each pair should correspond to a value in "Comparisons". +* "Comparisons" consists of the sample column name with the transfer curve conditions. It is important for the values to be numerical. Additional preferences including stem name and plot path are required for each analysis. + +### Optional Settings +* To change a preference, input the new value within the Value column. +* MEFL-converted point clouds can be obtained by setting the value of the "flow.outputPointCloud" preference to 1. + +### Next Steps +After completing and saving the template spreadsheet, the actual analysis can be run in two ways: +1) Run the function ```analyzeFromExcel``` (located in the code directory of TASBEFlowAnalytics) +with the file path of the spreadsheet as the input and the type ('colormodel', 'batch', 'plusminus', or 'transfercurve'). ```analyzeFromExcel``` will then create a TemplateExtraction object and run the correct analysis. +2) Click the run buttons located in each sheet of the template. From there, ```analyzeFromExcel``` is automatically called with the correct inputs. The TASBESession log would then be outputted near the bottom of the relevant sheet. The template contains some more detailed instructions to set up the buttons. **This feature currently only works with Windows.** + +**Note**: The code is based on the coordinates of several important variables. 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