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
17143074
17622754
8137197
Distinct Fragments
15353475
15865684
7413875
Positions with Two Read
1432391
1421985
581400
NRF = Distinct/Total
0.895608
0.900295
0.911109
PBC1 = OneRead/Distinct
0.896609
0.901225
0.914355
PBC2 = OneRead/TwoRead
9.610544
10.055344
11.659644
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
84442
1127
N1
61382
35
N2
64787
62
Np
82507
1374
N optimal
84442
1374
N conservative
84442
1127
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.023452555540742
1.2191659272404614
Self Consistency Ratio
1.055472288292985
1.7714285714285714
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
122645
115638
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
390.0
372.0
424.0
424.0
25 percentile
390.0
450.0
424.0
424.0
50 percentile (median)
390.0
450.0
424.0
424.0
75 percentile
390.0
450.0
424.0
424.0
Max size
390.0
450.0
424.0
424.0
Mean
390.0
449.9993254812432
424.0
424.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
15000000
15000000
Estimated Fragment Length
170
200
Cross-correlation at Estimated Fragment Length
0.842917541103062
0.844127508061687
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.8406491
0.8422972
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.8357664
0.8379959
NSC (Normalized Strand Cross-correlation coeff.)
1.008556
1.007317
RSC (Relative Strand Cross-correlation coeff.)
1.464594
1.425527
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
0.3948409316633887
0.39754204666216036
Synthetic AUC
0.49771417195413137
0.4977513342458028
X-intercept
0.028753987232870367
0.028742010563422453
Synthetic X-intercept
0.0
0.0
Elbow Point
0.47988717977380063
0.4731722604366694
Synthetic Elbow Point
0.503338853679442
0.5032446305026346
JS Distance
0.026770066232542866
0.0293643438685466
Synthetic JS Distance
0.15255158569291397
0.14941244535876155
% Genome Enriched
36.824465940348205
44.671380151464945
Diff. Enrichment
1.2073702246549856
0.974670373111497
CHANCE Divergence
0.010254826461465485
0.008382396686695654
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
0.5058648795649554
0.5175425201918705
0.4708378636909937
0.48688755231832165
0.4710669437980822
0.4853463343441395
0.5282117291454509
0.5088248540673597
0.5154648013957901
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
0.3761862049710326
0.27838698642064397
0.3133002714171407
0.36777165112304555
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
0.007815558655219615
0.00029743799062377025
0.0005641767422862563
0.009389017539994294
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