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running chipr on my data set returned 361 peaks which were then filtered to only 42 "optimal" peaks.
$head expt1-2-3_bowtie2_all.bed
chromosome 2714624 2714865 primary_peak_223 1000 . 14.160550 0.0000000425562058 0.0000360025501378
chromosome 1285217 1285525 primary_peak_107 1000 . 13.369130 0.0000011627957752 0.0004918626129123
chromosome 345522 345762 primary_peak_20 1000 . 10.964530 0.0000130289580002 0.0036741661560522
chromosome 4069970 4070240 primary_peak_347 1000 . 10.339020 0.0000544316372019 0.0115122912681954
pX 871 2718 primary_peak_357 1000 . 6.946890 0.0001101967412251 0.0155377405127344
chromosome 3271118 3271329 primary_peak_262 1000 . 9.168750 0.0003944703809117 0.0417152427814112
$head expt1-2-3_bowtie2_optimal.bed
chromosome 149828 150004 primary_peak_4 713 . 6.252030 0.0190814211111566 0.3565806113461553
chromosome 345522 345762 primary_peak_20 1000 . 10.964530 0.0000130289580002 0.0036741661560522
chromosome 472281 472521 primary_peak_21 1000 . 8.436970 0.0017831789550360 0.0942855872475306
chromosome 943815 943965 primary_peak_49 374 . 14.850350 0.1256622895285242 0.9582093245621612
chromosome 944293 944463 primary_peak_50 667 . 3.817930 0.0247321095225195 0.3736315117152060
Based on what filtering thresholds/calculation is this done? Somehow I can see peaks with much better p-/q-values in the *all.bed file then I find afterwards in the *optimal.bed file.
Is there a way to see the values calculated for the filtering by the binomial test?
thanks
Assa
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