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
8061068
7411592
8113591
Distinct Fragments
6662773
6318309
7014079
Positions with Two Read
1021586
852810
883332
NRF = Distinct/Total
0.826537
0.85249
0.864485
PBC1 = OneRead/Distinct
0.820509
0.847076
0.859421
PBC2 = OneRead/TwoRead
5.35135
6.27583
6.824216
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
44845
2777
N1
24839
2464
N2
26352
1811
Np
35947
3082
N optimal
44845
3082
N conservative
44845
2777
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.2475310874342782
1.109830752610731
Self Consistency Ratio
1.0609122750513307
1.3605742683600222
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
99571
66835
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
82.0
70.0
84.0
84.0
25 percentile
330.0
280.0
336.0
336.0
50 percentile (median)
330.0
280.0
336.0
336.0
75 percentile
330.0
280.0
336.0
336.0
Max size
863.0
502.0
926.0
926.0
Mean
329.20796215765637
279.44988404279195
304.0908500973394
333.7839223993756
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
7552289
6954038
Estimated Fragment Length
170
155
Cross-correlation at Estimated Fragment Length
0.681737224078232
0.675781422532557
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6793421
0.6747082
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6721298
0.668192
NSC (Normalized Strand Cross-correlation coeff.)
1.014294
1.011358
RSC (Relative Strand Cross-correlation coeff.)
1.332084
1.164704
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
0.40221545081867416
0.40142276945747934
Synthetic AUC
0.49825521222589597
0.49820738625029015
X-intercept
0.01910276292495215
0.019400152087612046
Synthetic X-intercept
0.0
0.0
Elbow Point
0.573054945142677
0.5566486436858692
Synthetic Elbow Point
0.502577825478586
0.502173165396399
JS Distance
0.07821226994280522
0.06790753646438286
Synthetic JS Distance
0.15133716309185755
0.15095320199368573
% Genome Enriched
37.71293762611596
39.64197538256421
Diff. Enrichment
10.30736191637953
10.237824992151095
CHANCE Divergence
0.08800174268661057
0.08713705527227694
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
0.4809953728189508
0.3375965482442344
0.3396605028780173
0.3454366751354987
0.3340613660023406
0.3475973606217773
0.4754610307617796
0.35543752107225773
0.34738416949458945
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
0.253985218226138
0.1688559011707021
0.15714211684186336
0.2152894877865674
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
0.036203583093881345
0.03632465045534951
0.024755271454986
0.03871084645382909
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