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
1926063
1196740
2951536
Distinct Fragments
1747254
1086215
2888215
Positions with Two Read
142859
91651
53675
NRF = Distinct/Total
0.907163
0.907645
0.978546
PBC1 = OneRead/Distinct
0.909673
0.907789
0.980265
PBC2 = OneRead/TwoRead
11.125858
10.758792
52.747368
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
5956
250
N1
7610
235
N2
5171
85
Np
5735
262
N optimal
5956
262
N conservative
5956
250
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0385353095030514
1.048
Self Consistency Ratio
1.4716689228389093
2.764705882352941
Reproducibility Test
pass
borderline
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
23272
27945
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
131.0
216.0
151.0
151.0
25 percentile
524.0
624.0
604.0
604.0
50 percentile (median)
524.0
624.0
604.0
604.0
75 percentile
524.0
624.0
604.0
604.0
Max size
524.0
624.0
604.0
604.0
Mean
523.9040048126504
623.9853998926462
579.4732824427481
602.921087978509
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
1926063
1196740
Estimated Fragment Length
150
125
Cross-correlation at Estimated Fragment Length
0.400024059246651
0.305368574834138
Phantom Peak
35
35
Cross-correlation at Phantom Peak
0.397661
0.3023299
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.3906196
0.2914702
NSC (Normalized Strand Cross-correlation coeff.)
1.024076
1.047684
RSC (Relative Strand Cross-correlation coeff.)
1.335605
1.279815
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
0.35165349660480233
0.334439124769209
Synthetic AUC
0.4915565712585155
0.48928953567846617
X-intercept
0.04686381090111205
0.05842916271879519
Synthetic X-intercept
1.421646279701759e-119
7.103807608568794e-74
Elbow Point
0.5203690220914576
0.5402004687577918
Synthetic Elbow Point
0.5089522718098086
0.5022304356963594
JS Distance
0.055878787071608385
0.0738884857547637
Synthetic JS Distance
0.19045619043276127
0.20173389768803082
% Genome Enriched
38.869595571734905
42.88834588340897
Diff. Enrichment
13.1277253184514
16.495436619981756
CHANCE Divergence
0.1117698198167836
0.14211745159281294
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
0.1957169104921564
0.2473846687003826
0.26331904539795703
0.23741924422443447
0.247370804266634
0.2226692956040689
0.12311667560385485
0.22444262397152415
0.2023268178701851
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
0.07022915929917053
0.07947621495682411
0.061476587187589776
0.06716742903855094
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
0.013627550465380901
0.012959577285927802
0.009487330314678778
0.014107465228041714
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