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
912641
1037336
5669892
Distinct Fragments
836735
896520
5330601
Positions with Two Read
59681
104137
263582
NRF = Distinct/Total
0.916828
0.864252
0.940159
PBC1 = OneRead/Distinct
0.920101
0.865913
0.945896
PBC2 = OneRead/TwoRead
12.899935
7.45468
19.1295
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
8103
3242
N1
4220
1769
N2
4549
2111
Np
8047
3244
N optimal
8103
3244
N conservative
8103
3242
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0069591151982105
1.000616903146206
Self Consistency Ratio
1.077962085308057
1.1933295647258337
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
23010
24650
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
81.0
79.0
80.0
80.0
25 percentile
324.0
316.0
217.75
320.0
50 percentile (median)
324.0
316.0
320.0
320.0
75 percentile
324.0
316.0
320.0
320.0
Max size
339.0
321.0
453.0
453.0
Mean
320.1232073011734
312.24762677484784
271.38131935881626
300.4516845612736
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
912641
1037336
Estimated Fragment Length
140
145
Cross-correlation at Estimated Fragment Length
0.342881920305951
0.351117658853126
Phantom Peak
40
40
Cross-correlation at Phantom Peak
0.2622865
0.2648253
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.2147553
0.2162081
NSC (Normalized Strand Cross-correlation coeff.)
1.596617
1.62398
RSC (Relative Strand Cross-correlation coeff.)
2.695631
2.774939
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
0.24660154181310226
0.24761327417930373
Synthetic AUC
0.48776413333600477
0.48817278264309394
X-intercept
0.09811271820448877
0.09234713216957606
Synthetic X-intercept
2.2484872735034936e-56
2.0999874402747775e-60
Elbow Point
0.7036249376558603
0.6831581047381546
Synthetic Elbow Point
0.5219129612383955
0.5096314126742373
JS Distance
0.2579180747547594
0.2590631307745485
Synthetic JS Distance
0.3362444876602462
0.3384274979281955
% Genome Enriched
27.74563591022444
29.279201995012468
Diff. Enrichment
28.963770497319008
28.685133040943473
CHANCE Divergence
0.2479763152117972
0.2453594077119837
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
0.3277619299841575
0.3424032154433608
0.26799978148254594
0.27841252086218526
0.26841781487296296
0.2774321700049936
0.3437160284971968
0.3309461389750974
0.329309288499003
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
0.2239493250588433
0.18465912464758122
0.1930098285414986
0.22424877623711484
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
0.1690080651036692
0.13028153123730757
0.14411680173467042
0.16945437356477122
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