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
rep3
ctl1
Total Fragments
16931750
21594744
19182090
19651464
Distinct Fragments
16637785
21100500
18835589
19468941
Positions with Two Read
275242
459969
323333
166997
NRF = Distinct/Total
0.982638
0.977113
0.981936
0.990712
PBC1 = OneRead/Distinct
0.983006
0.977552
0.98236
0.991162
PBC2 = OneRead/TwoRead
59.420579
44.843987
57.22684
115.552178
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
rep3
Number of peaks
27951
9338
13563
Top 500000 raw peaks from macs2 with p-val threshold 0.01
Peak calling statistics
Peak region size
rep1
rep2
rep3
idr_opt
overlap_opt
Min size
195.0
175.0
230.0
214.0
200.0
25 percentile
195.0
175.0
230.0
389.0
319.0
50 percentile (median)
197.0
198.0
249.0
472.0
406.0
75 percentile
251.0
292.0
317.0
591.75
531.0
Max size
1884.0
1550.0
1858.0
2376.0
2376.0
Mean
244.64562985224143
266.7026129792247
301.2675661726757
502.2307692307692
438.198600855033
rep1rep2rep3idr_optoverlap_opt
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
rep3
Number of Subsampled Reads
15000000
15000000
15000000
Estimated Fragment Length
195
175
230
Cross-correlation at Estimated Fragment Length
0.17792439601785
0.177865837261828
0.177595562535884
Phantom Peak
50
50
50
Cross-correlation at Phantom Peak
0.1787318
0.1787395
0.178881
Argmin of Cross-correlation
1500
1500
1500
Minimum of Cross-correlation
0.1753804
0.1751678
0.1757774
NSC (Normalized Strand Cross-correlation coeff.)
1.014505
1.015402
1.010344
RSC (Relative Strand Cross-correlation coeff.)
0.7590732
0.7553859
0.5858216
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
rep1rep2rep3
Jensen-Shannon distance (filtered/deduped BAM)
rep1
rep2
rep3
AUC
0.2628178668885389
0.27444277169158177
0.270798985014296
Synthetic AUC
0.4877951450268079
0.4892021743732178
0.4885391813401501
X-intercept
0.17069332981450158
0.1404453721364507
0.1524353914500386
Synthetic X-intercept
1.1511926801978694e-56
1.149111327081419e-72
2.1656222653347666e-64
Elbow Point
0.5561753497838717
0.5748751414530376
0.6064686524074008
Synthetic Elbow Point
0.4986108104880323
0.49613285070113144
0.5014938831576645
JS Distance
0.03937007255691834
0.03116725257597453
0.018325068428497435
Synthetic JS Distance
0.25618306915122463
0.2574982792244423
0.2545967843858269
% Genome Enriched
41.12994485830704
40.48395932550393
35.74653215132576
Diff. Enrichment
18.348950028889156
15.505470478033633
16.70662939393394
CHANCE Divergence
0.16470094157675796
0.1380178218664857
0.1448878486659266
Peak enrichment
Fraction of reads in peaks (FRiP)
FRiP for macs2 raw peaks
rep1
rep2
rep3
rep1-pr1
rep2-pr1
rep3-pr1
rep1-pr2
rep2-pr2
rep3-pr2
pooled
pooled-pr1
pooled-pr2
Fraction of Reads in Peaks
0.016475981047195835
0.009028028318588656
0.010024815337830513
0.018249995013662566
0.023984061702699976
0.018391074185331112
0.018206565868286086
0.023960466271626717
0.018376285172984057
0.005829156359299603
0.006188722110578497
0.0061251880579676265
FRiP for overlap peaks
rep1_vs_rep2
rep1_vs_rep3
rep2_vs_rep3
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
rep3-pr1_vs_rep3-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.005693154944580203
0.005578654771851827
0.005573824782708916
0.00589550347406116
0.006392742526563597
0.004770758331603609
0.005648455905271968
FRiP for IDR peaks
rep1_vs_rep2
rep1_vs_rep3
rep2_vs_rep3
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
rep3-pr1_vs_rep3-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.004645895578231499
0.004488617974778628
0.004499195477883714
0.0051958819341443455
0.0054515161544962205
0.004262828661064269
0.004870429482115234
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