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
5717605
5216697
4801079
Distinct Fragments
5054024
4558486
4594446
Positions with Two Read
467461
469661
157696
NRF = Distinct/Total
0.883941
0.873826
0.956961
PBC1 = OneRead/Distinct
0.892608
0.880265
0.962006
PBC2 = OneRead/TwoRead
9.650568
8.543767
28.027876
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
20818
5300
N1
14617
3058
N2
16513
3215
Np
20468
5255
N optimal
20818
5300
N conservative
20818
5300
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0170998632010944
1.0085632730732637
Self Consistency Ratio
1.1297119792022987
1.0513407455853498
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
31294
37770
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
108.0
110.0
109.0
109.0
25 percentile
430.0
440.0
436.0
436.0
50 percentile (median)
430.0
440.0
436.0
436.0
75 percentile
430.0
440.0
436.0
436.0
Max size
430.0
476.0
503.0
503.0
Mean
428.7721288425896
439.1381784485041
422.03
432.3966279181478
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
5717605
5216697
Estimated Fragment Length
155
155
Cross-correlation at Estimated Fragment Length
0.677800364696808
0.650244145061189
Phantom Peak
40
40
Cross-correlation at Phantom Peak
0.6536357
0.6281573
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6215888
0.5984798
NSC (Normalized Strand Cross-correlation coeff.)
1.090432
1.086493
RSC (Relative Strand Cross-correlation coeff.)
1.754043
1.74423
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
0.2967432001330461
0.29368763328800507
Synthetic AUC
0.4950320496691438
0.49477030999778643
X-intercept
0.03912935928791149
0.04002904529549997
Synthetic X-intercept
0.0
0.0
Elbow Point
0.6903763520225978
0.6859098398917983
Synthetic Elbow Point
0.4970881605751237
0.5083920537061695
JS Distance
0.1377743864894295
0.13892114397684727
Synthetic JS Distance
0.2901147310408556
0.29268190275421074
% Genome Enriched
22.19351827100697
24.477842987835288
Diff. Enrichment
16.501942914462163
17.233811598999488
CHANCE Divergence
0.14264996949563136
0.1478041396038285
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
0.3206830203703233
0.35513701478183257
0.309007596293261
0.33667891337259964
0.31311673119709826
0.3386068696541599
0.3761684928417485
0.3286404139858564
0.3379311301737381
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
0.2550708121313885
0.2161372407759489
0.229292479733669
0.25284467264183397
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
0.12487494209179452
0.08792967280969725
0.09135766682739016
0.12406179387971619
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