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
7993189
9390482
8915266
Distinct Fragments
6493002
7527767
7285919
Positions with Two Read
1071558
1302540
1186156
NRF = Distinct/Total
0.812317
0.801638
0.817241
PBC1 = OneRead/Distinct
0.804576
0.792859
0.808946
PBC2 = OneRead/TwoRead
4.875252
4.582167
4.968921
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
48678
675
N1
32460
344
N2
32530
405
Np
46316
653
N optimal
48678
675
N conservative
48678
675
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0509974954659298
1.0336906584992342
Self Consistency Ratio
1.0021565003080715
1.177325581395349
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
91453
90304
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
61.0
65.0
69.0
69.0
25 percentile
244.0
260.0
276.0
276.0
50 percentile (median)
244.0
260.0
276.0
276.0
75 percentile
244.0
260.0
276.0
276.0
Max size
244.0
263.0
292.0
292.0
Mean
243.928575333778
259.8834713855422
256.9303703703704
275.7355684292699
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
7551818
8860127
Estimated Fragment Length
140
150
Cross-correlation at Estimated Fragment Length
0.675377787541199
0.705117353500099
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6755208
0.7053657
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6711855
0.7008572
NSC (Normalized Strand Cross-correlation coeff.)
1.006246
1.006079
RSC (Relative Strand Cross-correlation coeff.)
0.9670203
0.9449156
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
0.4134212772088991
0.4167718305310494
Synthetic AUC
0.4982196047914218
0.4983499810311976
X-intercept
0.019379891391151573
0.019152291966139594
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5058337326305702
0.5053765372943619
Synthetic Elbow Point
0.49879444454233407
0.5010689751592452
JS Distance
0.033666314103424674
0.02875933235482715
Synthetic JS Distance
0.12890972618507732
0.12642705038206684
% Genome Enriched
44.48670340201246
43.99297236863121
Diff. Enrichment
8.27776449114912
7.771680370545853
CHANCE Divergence
0.07040127580694142
0.0660593420858131
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
0.38915871500391197
0.39138996912929663
0.3895933094614168
0.3683846930309844
0.3728817367527176
0.36044389860155157
0.5325290721814537
0.3792646808088776
0.36985223222762115
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
0.22381961765635508
0.15369600733270422
0.156953517889391
0.2145421657555548
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
0.0068523189730480966
0.004247222073458775
0.004951562188041639
0.006719067171869754
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