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
4523980
4524374
5928253
Distinct Fragments
3811720
3806861
5353307
Positions with Two Read
503975
508600
444931
NRF = Distinct/Total
0.842559
0.841412
0.903016
PBC1 = OneRead/Distinct
0.843095
0.841594
0.905724
PBC2 = OneRead/TwoRead
6.37659
6.299314
10.897458
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
23266
11993
N1
25372
13452
N2
23741
11201
Np
24953
14465
N optimal
24953
14465
N conservative
23266
11993
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0725092409524628
1.2061202368048027
Self Consistency Ratio
1.0686997177877933
1.2009641996250335
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
28630
31750
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
98.0
100.0
101.0
101.0
25 percentile
238.0
400.0
220.0
260.0
50 percentile (median)
390.0
400.0
305.0
404.0
75 percentile
390.0
400.0
404.0
404.0
Max size
2154.0
1789.0
3437.0
3437.0
Mean
343.5487600419141
370.12343307086616
353.06947805046667
368.03125876648096
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4172886
4197139
Estimated Fragment Length
215
215
Cross-correlation at Estimated Fragment Length
0.620553813437308
0.593016625656254
Phantom Peak
55
55
Cross-correlation at Phantom Peak
0.5209368
0.5423295
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4664242
0.5090504
NSC (Normalized Strand Cross-correlation coeff.)
1.330449
1.164947
RSC (Relative Strand Cross-correlation coeff.)
2.827411
2.523095
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
0.1573329173118111
0.25699168751617396
Synthetic AUC
0.49767109969303264
0.49767631689808073
X-intercept
0.027966056039858016
0.020270202861652223
Synthetic X-intercept
0.0
0.0
Elbow Point
0.7707146548438781
0.747523339964364
Synthetic Elbow Point
0.5032111027441083
0.49853873120045333
JS Distance
0.46306306513211365
0.29834113076829566
Synthetic JS Distance
0.5260509818043666
0.3648789929494198
% Genome Enriched
22.61327789073365
23.911217349489903
Diff. Enrichment
53.24553948524151
33.67184947220427
CHANCE Divergence
0.4642631297288133
0.2923992818047382
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
0.5481444376459096
0.4194847822415579
0.5484688853233054
0.44857305399381514
0.5470166832545083
0.4464747226424609
0.4710445492412648
0.4729160965478771
0.473394201463619
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
0.43426347843066343
0.5213587937006467
0.3722728157377249
0.4489720855359509
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
0.3224543492365638
0.38840365440216806
0.2640759570736791
0.3584622469476536
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