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
6169340
9932445
9422046
Distinct Fragments
5389934
8615069
8060156
Positions with Two Read
628174
1051458
1075637
NRF = Distinct/Total
0.873665
0.867366
0.855457
PBC1 = OneRead/Distinct
0.870216
0.863447
0.849737
PBC2 = OneRead/TwoRead
7.466731
7.074613
6.367401
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
46821
1107
N1
29637
538
N2
29840
817
Np
29236
1042
N optimal
46821
1107
N conservative
46821
1107
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.6014844711998906
1.062380038387716
Self Consistency Ratio
1.0068495461753888
1.5185873605947955
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
69581
138367
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
59.0
60.0
64.0
64.0
25 percentile
236.0
240.0
256.0
256.0
50 percentile (median)
236.0
240.0
256.0
256.0
75 percentile
236.0
240.0
256.0
256.0
Max size
236.0
251.0
263.0
263.0
Mean
235.8595162472514
239.86961486481604
233.4579945799458
255.47433843788045
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
5826628
9367514
Estimated Fragment Length
140
145
Cross-correlation at Estimated Fragment Length
0.645019504795582
0.742703008843036
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6449453
0.742516
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.640741
0.7375426
NSC (Normalized Strand Cross-correlation coeff.)
1.006677
1.006997
RSC (Relative Strand Cross-correlation coeff.)
1.017656
1.0376
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
0.4106597921189301
0.41781758937418423
Synthetic AUC
0.49804598545430867
0.49845051037285315
X-intercept
0.019493768941738307
0.019176326370892713
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5119869509141947
0.5098566916494636
Synthetic Elbow Point
0.49935100891499395
0.500777347814283
JS Distance
0.03871764424664884
0.031060458129361625
Synthetic JS Distance
0.13319313565820803
0.12641053177202727
% Genome Enriched
43.28658875015473
41.71914118807374
Diff. Enrichment
8.373278124638261
7.146074191787494
CHANCE Divergence
0.07117348536154246
0.06073263681236188
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
0.3081709380229089
0.5197543076989262
0.3930548194601211
0.3255714417220341
0.38494509957988954
0.3426284214455846
0.5252508960586224
0.2905278311104333
0.28202021409096695
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
0.20411155206977466
0.14229035366774248
0.1381066270262919
0.13676708009831198
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
0.010688756440849248
0.0064541106009773745
0.008659054228273233
0.010303082595304724
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