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
ctl2
Total Fragments
10768014
6805114
8180559
4399155
Distinct Fragments
9452890
5938698
7046441
3955491
Positions with Two Read
1080399
701950
908112
376573
NRF = Distinct/Total
0.877868
0.872682
0.861364
0.899148
PBC1 = OneRead/Distinct
0.8739
0.868627
0.855911
0.896676
PBC2 = OneRead/TwoRead
7.646138
7.348831
6.641387
9.418612
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
10851
2143
N1
16052
2090
N2
24623
1756
Np
10442
2210
N optimal
10851
2210
N conservative
10851
2143
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0391687416203792
1.031264582361176
Self Consistency Ratio
1.5339521554946425
1.1902050113895217
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
29197
51623
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
90.0
72.0
94.0
94.0
25 percentile
360.0
290.0
219.0
376.0
50 percentile (median)
360.0
290.0
376.0
376.0
75 percentile
360.0
290.0
376.0
376.0
Max size
554.0
318.0
573.0
573.0
Mean
355.7662431071685
288.68012320089883
304.26651583710407
361.3644825361718
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
10185158
6422620
Estimated Fragment Length
175
160
Cross-correlation at Estimated Fragment Length
0.761452768103064
0.667432820939123
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7569461
0.6625811
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7484828
0.6553542
NSC (Normalized Strand Cross-correlation coeff.)
1.017328
1.018431
RSC (Relative Strand Cross-correlation coeff.)
1.532504
1.671353
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
0.41298406296807627
0.4101570293959189
Synthetic AUC
0.4985388225764624
0.4981528346257207
X-intercept
0.018338640924019926
0.018933623503808488
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5675235347555679
0.5462738716794282
Synthetic Elbow Point
0.500230722648011
0.49985285710375726
JS Distance
0.07691171227652926
0.07369192912256269
Synthetic JS Distance
0.14079342621332566
0.13993152482190335
% Genome Enriched
41.913527867346836
44.18664084415649
Diff. Enrichment
4.881997159036866
6.131795802051332
CHANCE Divergence
0.0414762894783973
0.052181190534840126
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
0.19496723535120974
0.2772896782490885
0.29585871628260213
0.390120747985877
0.2985860038953713
0.38321607376486605
0.12007476063909772
0.22104603830215883
0.21367139742827437
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
0.09318058595541084
0.12355159130573683
0.15074772980511247
0.0909995909781883
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
0.037018032879845474
0.03708002371812349
0.030412322851346586
0.03778511928373831
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