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
7574272
7141334
6063817
Distinct Fragments
6777699
6070186
5107705
Positions with Two Read
670324
833024
728193
NRF = Distinct/Total
0.894832
0.850007
0.842325
PBC1 = OneRead/Distinct
0.892212
0.844267
0.836447
PBC2 = OneRead/TwoRead
9.021224
6.15211
5.867022
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
91377
177
N1
73698
21
N2
59129
26
Np
93585
250
N optimal
93585
250
N conservative
91377
177
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0241636297974326
1.4124293785310735
Self Consistency Ratio
1.246393478665291
1.2380952380952381
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
136553
140903
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
304.0
86.0
85.0
85.0
25 percentile
304.0
290.0
310.0
310.0
50 percentile (median)
304.0
290.0
310.0
310.0
75 percentile
304.0
290.0
310.0
310.0
Max size
304.0
290.0
310.0
310.0
Mean
304.0
289.99841735094355
309.1
309.9975957685526
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
7153875
6734434
Estimated Fragment Length
185
175
Cross-correlation at Estimated Fragment Length
0.697259445964488
0.665917471838106
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6978172
0.666589
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6941242
0.663186
NSC (Normalized Strand Cross-correlation coeff.)
1.004517
1.004119
RSC (Relative Strand Cross-correlation coeff.)
0.8489798
0.8026776
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
0.4229139759609008
0.4198691261442631
Synthetic AUC
0.49827104464260363
0.4981767372212498
X-intercept
0.01844734205810394
0.01881253716808155
Synthetic X-intercept
0.0
0.0
Elbow Point
0.48041516497639203
0.4981420948230101
Synthetic Elbow Point
0.4988502587486416
0.5016443988644691
JS Distance
0.05707068847935415
0.04870659500525597
Synthetic JS Distance
0.11333467389747197
0.11716652008631746
% Genome Enriched
49.37238326727892
47.48833570809935
Diff. Enrichment
6.8194893712162035
6.5019909822779
CHANCE Divergence
0.05842814837642559
0.0555292922404244
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
0.5771625544523856
0.5870583593397511
0.5688854379605525
0.5367042276148688
0.5691865258876638
0.5135294847724368
0.588161046264051
0.5860076894024007
0.5864336128608044
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
0.4052973923120748
0.3466754702692628
0.27976579162526133
0.4151107844452611
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
0.0015769016133015223
0.00032114079591015845
0.00034493242336796595
0.0021062558454714975
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