Open chromatin assays are known to have significant GC bias. Please take this
into consideration as necessary.
Library complexity quality metrics
Library complexity (filtered non-mito BAM)
rep1
rep2
ctl1
Total Fragments
5275649
4662452
6305656
Distinct Fragments
4415835
3862236
5156637
Positions with Two Read
645470
590299
828974
NRF = Distinct/Total
0.837022
0.82837
0.81778
PBC1 = OneRead/Distinct
0.831208
0.821931
0.810555
PBC2 = OneRead/TwoRead
5.68652
5.377766
5.042059
Mitochondrial reads are filtered out by default.
The non-redundant fraction (NRF) is the fraction of non-redundant mapped reads
in a dataset; it is the ratio between the number of positions in the genome
that uniquely mapped reads map to and the total number of uniquely mappable
reads. The NRF should be > 0.8. The PBC1 is the ratio of genomic locations
with EXACTLY one read pair over the genomic locations with AT LEAST one read
pair. PBC1 is the primary measure, and the PBC1 should be close to 1.
Provisionally 0-0.5 is severe bottlenecking, 0.5-0.8 is moderate bottlenecking,
0.8-0.9 is mild bottlenecking, and 0.9-1.0 is no bottlenecking. The PBC2 is
the ratio of genomic locations with EXACTLY one read pair over the genomic
locations with EXACTLY two read pairs. The PBC2 should be significantly
greater than 1. See more details at
the ENCODE portal standard for ChIP-Seq pipeline
NRF (non redundant fraction)
PBC1 (PCR Bottleneck coefficient 1)
PBC2 (PCR Bottleneck coefficient 2)
PBC1 is the primary measure. Provisionally
0-0.5 is severe bottlenecking
0.5-0.8 is moderate bottlenecking
0.8-0.9 is mild bottlenecking
0.9-1.0 is no bottlenecking
Replication quality metrics
IDR (Irreproducible Discovery Rate) plots
Reproducibility QC and peak detection statistics
overlap
idr
Nt
43668
841
N1
31271
534
N2
31712
387
Np
43644
906
N optimal
43668
906
N conservative
43668
841
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0005499037668408
1.0772889417360285
Self Consistency Ratio
1.0141025231044738
1.37984496124031
Reproducibility Test
pass
pass
Reproducibility QC
N1: Replicate 1 self-consistent peaks (comparing two pseudoreplicates generated by subsampling Rep1 reads)
N2: Replicate 2 self-consistent peaks (comparing two pseudoreplicates generated by subsampling Rep2 reads)
Ni: Replicate i self-consistent peaks (comparing two pseudoreplicates generated by subsampling RepX reads)
Nt: True Replicate consistent peaks (comparing true replicates Rep1 vs Rep2)
Np: Pooled-pseudoreplicate consistent peaks (comparing two pseudoreplicates generated by subsampling pooled reads from Rep1 and Rep2)
Self-consistency Ratio: max(N1,N2) / min (N1,N2)
Rescue Ratio: max(Np,Nt) / min (Np,Nt)
Reproducibility Test: If Self-consistency Ratio >2 AND Rescue Ratio > 2, then 'Fail' else 'Pass'
Number of raw peaks
rep1
rep2
Number of peaks
85047
86007
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
71.0
68.0
72.0
72.0
25 percentile
264.0
270.0
290.0
290.0
50 percentile (median)
264.0
270.0
290.0
290.0
75 percentile
264.0
270.0
290.0
290.0
Max size
292.0
270.0
480.0
480.0
Mean
263.92192552353407
269.9407490088016
276.18101545253865
289.71093249061096
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4977958
4399135
Estimated Fragment Length
175
185
Cross-correlation at Estimated Fragment Length
0.591171351284087
0.556365210808887
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.5912658
0.5565712
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5864042
0.55215
NSC (Normalized Strand Cross-correlation coeff.)
1.008129
1.007634
RSC (Relative Strand Cross-correlation coeff.)
0.9805689
0.9534084
Performed on subsampled (15000000) reads mapped from FASTQs that are trimmed to 50.
Such FASTQ trimming and subsampling reads are for cross-corrleation analysis only.
Untrimmed FASTQs are used for all the other analyses.
NOTE1: For SE datasets, reads from replicates are randomly subsampled to 15000000.
NOTE2: For PE datasets, the first end (R1) of each read-pair is selected and trimmed to 50 the reads are then randomly subsampled to 15000000.
Normalized strand cross-correlation coefficient (NSC) = col9 in outFile
Relative strand cross-correlation coefficient (RSC) = col10 in outFile
Estimated fragment length = col3 in outFile, take the top value
Jensen-Shannon distance (filtered/deduped BAM)
rep1
rep2
AUC
0.39851403292276116
0.39934405489022606
Synthetic AUC
0.49786380143510106
0.4977164805176501
X-intercept
0.019699194713361054
0.020046369825295098
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5440134241043281
0.5342206916366713
Synthetic Elbow Point
0.49850354135837766
0.49863223045897215
JS Distance
0.05437960631357901
0.05087861096549434
Synthetic JS Distance
0.15317194489010358
0.1499778461437792
% Genome Enriched
42.4714877451176
43.0227778797577
Diff. Enrichment
10.47746429219486
10.492979483153603
CHANCE Divergence
0.08908063591318093
0.08923166988658256
Peak enrichment
Fraction of reads in peaks (FRiP)
FRiP for spp raw peaks
rep1
rep2
rep1-pr1
rep2-pr1
rep1-pr2
rep2-pr2
pooled
pooled-pr1
pooled-pr2
Fraction of Reads in Peaks
0.40140651412580175
0.41261532942859097
0.4047619368573922
0.4240533260973801
0.408909315740898
0.42930401744440316
0.5285001274170584
0.40482293344034925
0.4065637405333201
FRiP for overlap peaks
rep1_vs_rep2
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.22365355649418256
0.17014767904050412
0.1731755556343562
0.2239135448288692
FRiP for IDR peaks
rep1_vs_rep2
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.010413198057890736
0.008077054075889396
0.005850946558271265
0.01095115455677203
For spp raw peaks:
repX: Peak from true replicate X
repX-prY: Peak from Yth pseudoreplicates from replicate X
pooled: Peak from pooled true replicates (pool of rep1, rep2, ...)
pooled-pr1: Peak from 1st pooled pseudo replicate (pool of rep1-pr1, rep2-pr1, ...)
pooled-pr2: Peak from 2nd pooled pseudo replicate (pool of rep1-pr2, rep2-pr2, ...)
For overlap/IDR peaks:
repX_vs_repY: Comparing two peaks from true replicates X and Y
repX-pr1_vs_repX-pr2: Comparing two peaks from both pseudoreplicates from replicate X
pooled-pr1_vs_pooled-pr2: Comparing two peaks from 1st and 2nd pooled pseudo replicates