Entering edit mode
7 months ago
Ronin
▴
10
I've got some ATACseq peak files that I've generated (both from Homer and MACS2, in case one is preferred). I am wanting to generate a Venn diagram to compare/contrast these peaks. How might I be able to do this? I was hoping to then put this input file into an interactive app like from here:
https://asntech.shinyapps.io/intervene/
The example dataset used on the above website is:
mESC pro-B Myotube Th-cell
NM_001081209 NM_008922 NM_133810 NM_001109661
NM_133833 NM_008922 NM_028133 NM_028331
NM_015818 NM_145996 NM_010866 NM_016754
NM_015818 NM_019790 NM_026830 NM_007598
NM_018872 NM_033563 NM_028040 NM_008856
NM_001005423 NM_027456 NM_001163360 NM_001081345
NM_008342 NM_027966 NM_178665 NM_010735
NM_025386 NM_008972 NM_022318 NM_001162366
NM_010262 NM_010566 NM_015740 NM_024214
NM_023755 NM_177646 NM_175418 NM_021782
For reference, my own peak files look something like this (from Homer):
#PeakID chr start end strand score focus ratio/other Total Tags Background Tags Fold Change vs. Background p-value
Merged-VHII01000031.1-133075-1 VHII01000031.1 133025 133125 + 463 0 1499.5 215.9 6.94 0.00E+00
Merged-CM020919.1-145512-1 CM020919.1 145462 145562 + 285.5 0 53 8.3 6.37 4.01E-25
Merged-CM020928.1-3483966-1 CM020928.1 3483916 3484016 + 188.4 0 422 22.5 18.74 0.00E+00
Merged-CM020931.1-7099184-1 CM020931.1 7099134 7099234 + 163.7 0 380 69 5.5 9.51E-149
Merged-VHII01000031.1-132864-2 VHII01000031.1 132797 132932 + 162.6 0 1711.5 248.2 6.89 0.00E+00
Merged-CM020911.1-23060979-1 CM020911.1 23060929 23061029 + 157.7 0 398.5 45.5 8.75 4.93E-224
Merged-CM020922.1-34104023-1 CM020922.1 34103973 34104073 + 150.7 0 40 2.4 16.34 4.03E-34
Merged-CM020920.1-21165501-1 CM020920.1 21165451 21165551 + 131.7 0 186 25 7.45 1.80E-94
Merged-CM020925.1-35916431-1 CM020925.1 35916381 35916481 + 129.3 0 267 64.6 4.13 7.97E-79
Merged-CM020921.1-28176661-2 CM020921.1 28176578 28176745 + 124.4 0 689.5 72 9.58 0.00E+00
This is just a merged file of one type of tissue (I have three total).
Thanks in advance for any insights you might be able to provide.
Something more global and useful based on positions: https://bedtools.readthedocs.io/en/latest/content/tools/jaccard.html
That might be useful.