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
4928819
2460175
6957743
Distinct Fragments
4575019
2352781
6710513
Positions with Two Read
238280
81476
193354
NRF = Distinct/Total
0.928218
0.956347
0.964467
PBC1 = OneRead/Distinct
0.939244
0.961324
0.969331
PBC2 = OneRead/TwoRead
18.033645
27.760126
33.64144
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
7285
1235
N1
8013
1381
N2
6865
753
Np
7712
1466
N optimal
7712
1466
N conservative
7285
1235
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0586135895676048
1.1870445344129554
Self Consistency Ratio
1.167225054624909
1.8339973439575032
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
15672
15729
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
159.0
169.0
162.0
162.0
25 percentile
636.0
676.0
372.25
650.0
50 percentile (median)
636.0
676.0
650.0
650.0
75 percentile
636.0
676.0
650.0
650.0
Max size
3550.0
2022.0
3614.0
3614.0
Mean
632.6285094435937
672.3937313243055
664.4447476125512
648.9447614107884
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4928819
2460175
Estimated Fragment Length
135
105
Cross-correlation at Estimated Fragment Length
0.654032536156895
0.496403108386585
Phantom Peak
35
35
Cross-correlation at Phantom Peak
0.646138
0.4935384
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6100616
0.467245
NSC (Normalized Strand Cross-correlation coeff.)
1.072076
1.062404
RSC (Relative Strand Cross-correlation coeff.)
1.218829
1.108952
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
0.3364361195777125
0.33054766981161354
Synthetic AUC
0.49477586276451463
0.492718478384021
X-intercept
0.038088474106939794
0.04407944874255368
Synthetic X-intercept
0.0
3.0611988096755096e-161
Elbow Point
0.6151891057228471
0.5870676343729926
Synthetic Elbow Point
0.5007564104932348
0.5028478329822912
JS Distance
0.12656747535580942
0.12465490933308905
Synthetic JS Distance
0.23796457713614166
0.2349489189893351
% Genome Enriched
24.383246816983007
30.027092053130747
Diff. Enrichment
14.57919779072948
15.373058360895842
CHANCE Divergence
0.12812204621596712
0.1317028292963752
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
0.20755879603078073
0.1994600188727165
0.22555937172172963
0.24487867544519476
0.22602401789606297
0.24510285339028676
0.19533357732966564
0.2048275630172887
0.20456322063709204
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
0.12782850017983594
0.13707345198140894
0.11504623731025335
0.13391518842681424
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
0.05320830030114435
0.05582895795148084
0.03976835494229792
0.058579668323054015
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