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
6479609
6993162
6190295
Distinct Fragments
5293173
6194340
5314957
Positions with Two Read
843935
657092
676015
NRF = Distinct/Total
0.816897
0.885771
0.858595
PBC1 = OneRead/Distinct
0.810775
0.883036
0.85517
PBC2 = OneRead/TwoRead
5.085193
8.324288
6.723506
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
76607
1397
N1
32447
617
N2
33245
658
Np
77661
1447
N optimal
77661
1447
N conservative
76607
1397
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0137585338154478
1.0357909806728705
Self Consistency Ratio
1.0245939532160138
1.0664505672609401
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
119086
121156
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
74.0
81.0
84.0
84.0
25 percentile
296.0
324.0
336.0
336.0
50 percentile (median)
296.0
324.0
336.0
336.0
75 percentile
296.0
324.0
336.0
336.0
Max size
530.0
561.0
582.0
582.0
Mean
295.9526812555632
323.9532173396282
327.78852798894263
335.84396286424334
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
6066225
6606127
Estimated Fragment Length
190
205
Cross-correlation at Estimated Fragment Length
0.629088020054088
0.676455394189765
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6284203
0.6757481
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6240962
0.6717518
NSC (Normalized Strand Cross-correlation coeff.)
1.007998
1.007002
RSC (Relative Strand Cross-correlation coeff.)
1.154426
1.176978
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
0.40688958963254274
0.41104562629358593
Synthetic AUC
0.49804578128906396
0.4981964814982411
X-intercept
0.019298637837147282
0.018911387553696046
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5302194950575686
0.5275466696475624
Synthetic Elbow Point
0.5022667647413332
0.49989664720347127
JS Distance
0.04564044308520544
0.040138152045981056
Synthetic JS Distance
0.14144092770138258
0.13807579117317895
% Genome Enriched
43.289192124047844
43.60178694048322
Diff. Enrichment
9.709354076512527
9.005063768902488
CHANCE Divergence
0.08254083697442108
0.07654619229230605
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
0.5324573424931892
0.5482332153776097
0.40703206526359664
0.3975413821133254
0.39800531624750873
0.3994138904497582
0.5422462860688552
0.5471383468466978
0.5487442260304825
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
0.3786587956131253
0.18221314195042934
0.1927700800445166
0.3828435976196344
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
0.016042642993471017
0.009294404698401138
0.009469725535526153
0.016534078737435724
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