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
ctl2
ctl3
ctl4
Total Fragments
22802808
24756209
35728511
32041408
39973217
31260020
Distinct Fragments
21323959
23099681
33094746
30593422
35849689
29641184
Positions with Two Read
1324464
1478564
2330231
1337442
3431752
1482945
NRF = Distinct/Total
0.935146
0.933086
0.926284
0.954809
0.896843
0.948214
PBC1 = OneRead/Distinct
0.934354
0.932234
0.925124
0.954509
0.895025
0.947723
PBC2 = OneRead/TwoRead
15.043166
14.564344
13.138933
21.833994
9.349845
18.943137
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
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
117777
127732
Top 500000 raw peaks from macs2 with p-val threshold 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
205.0
235.0
220.0
220.0
25 percentile
214.0
253.0
515.0
387.0
50 percentile (median)
253.0
309.0
678.0
510.0
75 percentile
317.0
412.0
909.0
707.0
Max size
1770.0
4241.0
4541.0
4541.0
Mean
281.6621836181937
372.4228854163405
746.9244580687541
584.7950310559006
rep1rep2idr_optoverlap_opt
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
15000000
15000000
Estimated Fragment Length
205
235
Cross-correlation at Estimated Fragment Length
0.171449869406974
0.179434619737545
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.1700305
0.1753092
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.1662562
0.1689145
NSC (Normalized Strand Cross-correlation coeff.)
1.031239
1.062281
RSC (Relative Strand Cross-correlation coeff.)
1.376061
1.645136
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
rep1rep2
Jensen-Shannon distance (filtered/deduped BAM)
rep1
rep2
AUC
0.27218606729455136
0.2637342350198229
Synthetic AUC
0.4946302144337059
0.4948475932403476
X-intercept
0.13324563052057883
0.12821138243891125
Synthetic X-intercept
8.78873769694554e-298
0.0
Elbow Point
0.5740862179961373
0.5966403691515353
Synthetic Elbow Point
0.501987182502938
0.5083840863707134
JS Distance
0.03171717792732178
0.048990063300817684
Synthetic JS Distance
0.2814559072916413
0.3008991891654589
% Genome Enriched
37.65289679191641
34.64234446412648
Diff. Enrichment
14.599976487303639
15.908562479103171
CHANCE Divergence
0.1281224895351793
0.1378652225338505
Peak enrichment
Fraction of reads in peaks (FRiP)
FRiP for macs2 raw peaks
rep1
rep2
rep1-pr1
rep2-pr1
rep1-pr2
rep2-pr2
pooled
pooled-pr1
pooled-pr2
Fraction of Reads in Peaks
0.05793746414443395
0.09372720266724283
0.07954851926937391
0.09744204402051718
0.07969864175695413
0.09756752084296785
0.06355824127465472
0.06326324125828234
0.06339543872788123
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
0.018971400840105818
0.00994116360483638
0.03924446503073111
0.025008816909166984
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
0.011301223814195693
0.004382976897067513
0.021277697861129093
0.014491914129341152
For macs2 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