A somewhat random list of nice data visualization type catalogs. Mostly taken from Yuri Engelhardt's tweet
Classic: https://datavizcatalogue.com
Thorough: http://datavizproject.com
| chrom1,start1,end1,strand1,chrom2,start2,end2,strand2,dataset,zoomOutLevel,server,coords,corner-score,U-var,L-var,U-sign,L-sign | |
| chr4,69285000,70075000,+,chr4,69285000,70075000,+,CQMd6V_cRw6iCI_-Unl3PQ,0,//higlass.io,hg19,0.098279,0.20712,0.43713,0.4001,0.40554 | |
| chr4,18680000,20260000,+,chr4,18680000,20260000,+,CQMd6V_cRw6iCI_-Unl3PQ,0,//higlass.io,hg19,0.58392,0.31563,0.32759,0.5282,0.42433 | |
| chr4,42985000,44635000,+,chr4,42985000,44635000,+,CQMd6V_cRw6iCI_-Unl3PQ,0,//higlass.io,hg19,0.71638,0.29186,0.32687,0.61341,0.53275 | |
| chr4,60060000,60985000,+,chr4,60060000,60985000,+,CQMd6V_cRw6iCI_-Unl3PQ,0,//higlass.io,hg19,0.60764,0.29093,0.28665,0.41713,0.40194 | |
| chr4,8640000,9145000,+,chr4,8640000,9145000,+,CQMd6V_cRw6iCI_-Unl3PQ,0,//higlass.io,hg19,0.80964,0.2152,0.33994,0.47216,0.60157 | |
| chr4,22960000,24440000,+,chr4,22960000,24440000,+,CQMd6V_cRw6iCI_-Unl3PQ,0,//higlass.io,hg19,0.6919,0.25365,0.22566,0.43577,0.53228 | |
| chr4,125265000,126205000,+,chr4,125265000,126205000,+,CQMd6V_cRw6iCI_-Unl3PQ,0,//higlass.io,hg19,0.96028, |
A somewhat random list of nice data visualization type catalogs. Mostly taken from Yuri Engelhardt's tweet
Classic: https://datavizcatalogue.com
Thorough: http://datavizproject.com
| { | |
| "fgm": { | |
| "fragmentsServer": "//higlass.io/api/v1/", | |
| "fragmentsPrecision": 2, | |
| "fragmentsDims": 60, | |
| "fragmentsPadding": 50, | |
| "fragmentsBaseRes": 1000, | |
| "fragmentsPercentile": 99, | |
| "fragmentsIgnoreDiags": 1, | |
| "fragments": [ |
| { | |
| "fgm": { | |
| "fragmentsServer": "//higlass.io/api/v1/", | |
| "fragmentsPrecision": 2, | |
| "fragmentsDims": 60, | |
| "fragmentsPadding": 50, | |
| "fragmentsBaseRes": 1000, | |
| "fragmentsPercentile": 99, | |
| "fragmentsIgnoreDiags": 1, | |
| "fragments": [ |
| { | |
| "fgm": { | |
| "fragmentsServer": "//higlass.io/api/v1/", | |
| "fragmentsPrecision": 2, | |
| "fragmentsNoBalance": true, | |
| "fragmentsDims": 60, | |
| "fragmentsBaseRes": 1000, | |
| "fragments": [ | |
| ["chrom1", "start1", "end1", "strand1", "chrom2", "start2", "end2", "strand2", "dataset", "zoomOutLevel", "cell-line"], | |
| ["chr1", 0, 1, "coding", "chr2", 0, 1, "coding", "CQMd6V_cRw6iCI_-Unl3PQ", 6, "GM12878"], |
| { | |
| "fgm": { | |
| "fragmentsServer": "//higlass.io/api/v1/", | |
| "fragmentsPrecision": 2, | |
| "fragmentsNoBalance": true, | |
| "fragmentsDims": 60, | |
| "fragmentsBaseRes": 1000, | |
| "fragments": [ | |
| ["chrom1", "start1", "end1", "strand1", "chrom2", "start2", "end2", "strand2", "dataset", "zoomOutLevel"], | |
| ["chr1", 0, 1, "coding", "chr2", 0, 1, "coding", "CQMd6V_cRw6iCI_-Unl3PQ", 6], |
| { | |
| "fgm": { | |
| "fragmentsServer": "//higlass.io/api/v1/", | |
| "fragmentsPrecision": 2, | |
| "fragmentsDims": 22, | |
| "fragmentsBaseRes": 1000, | |
| "fragments": [ | |
| ["chrom1", "start1", "end1", "strand1", "chrom2", "start2", "end2", "strand2", "dataset", "zoomOutLevel", "size", "distance-to-diagonal", "noise", "sharpness", "_test"], | |
| ["chr22", 17395000, 17400000, "coding", "chr22", 17535000, 17540000, "coding", "CQMd6V_cRw6iCI_-Unl3PQ", 3, 25000000, 135000, 0.21559968240959723, 58.75532055518839, 1], | |
| ["chr22", 17400000, 17410000, "coding", "chr22", 17980000, 17990000, "coding", "CQMd6V_cRw6iCI_-Unl3PQ", 3, 100000000, 570000, 0.19905589933149648, 59.977490663167465, 1], |
| [{ | |
| "url": "http://higlass.io/visualization/?config=B80L-PFiTLihXPGLcYvXbg", | |
| "title": "Viewport projection", | |
| "description": "Showing where the one view located by showing its position in another view", | |
| "image": "https://cloud.githubusercontent.com/assets/932103/22489607/698b0e46-e7e6-11e6-9ba2-41ef7e416cd8.png" | |
| }] |
| #!/bin/bash | |
| # Download Nature Scientific Data ISA Tabs | |
| YEARS[0]=2014 | |
| YEARS[1]=2015 | |
| YEARS[2]=2016 | |
| NUM_ISA_TABS[0]=53 | |
| NUM_ISA_TABS[1]=76 |
Generates a random directed acyclic graph and serializes it in JSON
git clone https://gist.github.com/flekschas/0ea70dec4d92bc706e61 random-graph-json && cd random-graph-jsonmkvirtualenv -a $(pwd) random-graph-json [Optional but recommended]pip install -r requirements.txt