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
17527558
16595381
17916963
Distinct Fragments
14272503
13334785
15559188
Positions with Two Read
2117117
2078602
1706329
NRF = Distinct/Total
0.814289
0.803524
0.868405
PBC1 = OneRead/Distinct
0.819495
0.808217
0.874561
PBC2 = OneRead/TwoRead
5.524611
5.184928
7.974696
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
64353
770
N1
39117
207
N2
34399
211
Np
62890
684
N optimal
64353
770
N conservative
64353
770
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0232628398791541
1.1257309941520468
Self Consistency Ratio
1.1371551498590076
1.0193236714975846
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
103660
101796
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
420.0
436.0
430.0
430.0
25 percentile
420.0
436.0
430.0
430.0
50 percentile (median)
420.0
436.0
430.0
430.0
75 percentile
420.0
436.0
430.0
430.0
Max size
420.0
436.0
430.0
430.0
Mean
420.0
436.0
430.0
430.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
15000000
15000000
Estimated Fragment Length
170
165
Cross-correlation at Estimated Fragment Length
0.822172675120201
0.816459750830602
Phantom Peak
55
50
Cross-correlation at Phantom Peak
0.8199493
0.8147146
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.8145034
0.8094813
NSC (Normalized Strand Cross-correlation coeff.)
1.009416
1.008621
RSC (Relative Strand Cross-correlation coeff.)
1.408264
1.333469
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
0.39085294513867297
0.3927438254445711
Synthetic AUC
0.4976297678789252
0.4975482222075777
X-intercept
0.02877241170059445
0.028820319143414923
Synthetic X-intercept
0.0
0.0
Elbow Point
0.47058283396478007
0.4689479924785315
Synthetic Elbow Point
0.5034690517002949
0.49943099059661294
JS Distance
0.018233590479679873
0.016202880352755293
Synthetic JS Distance
0.15891711481696666
0.15620026220271663
% Genome Enriched
37.640079366663606
36.0112263107676
Diff. Enrichment
3.741454326638988
3.6032617497908204
CHANCE Divergence
0.03178090042760454
0.030637562966052075
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
0.4845680273546337
0.4822145059677341
0.4111005190987883
0.37671820514606064
0.4089652925629799
0.38233964813956767
0.5018464911676271
0.4853662067188917
0.48421203786628164
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
0.3209408147305212
0.21126112989280765
0.19130324223708617
0.3138733322142149
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
0.007863850669523276
0.0025576397812099505
0.0028691727463182708
0.007133493865700941
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