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
21043694
21226434
20658703
Distinct Fragments
16930484
17142090
17169022
Positions with Two Read
2451336
2450601
2238028
NRF = Distinct/Total
0.80454
0.807582
0.831079
PBC1 = OneRead/Distinct
0.815438
0.818329
0.839129
PBC2 = OneRead/TwoRead
5.63193
5.724254
6.437377
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
30078
1135
N1
14316
347
N2
12905
386
Np
27626
908
N optimal
30078
1135
N conservative
30078
1135
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0887569680735538
1.25
Self Consistency Ratio
1.1093374660984114
1.1123919308357348
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
45168
38546
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
146.0
154.0
150.0
150.0
25 percentile
584.0
590.0
600.0
600.0
50 percentile (median)
584.0
590.0
600.0
600.0
75 percentile
584.0
590.0
600.0
600.0
Max size
662.0
614.0
853.0
853.0
Mean
583.6159449167552
589.6434908939967
576.3955947136564
598.98896203205
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
15000000
15000000
Estimated Fragment Length
165
180
Cross-correlation at Estimated Fragment Length
0.823097055970873
0.824171782263619
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.82312
0.8244035
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.8184179
0.8195969
NSC (Normalized Strand Cross-correlation coeff.)
1.005717
1.005582
RSC (Relative Strand Cross-correlation coeff.)
0.9951274
0.9517876
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
0.4082206670195198
0.4076665618274045
Synthetic AUC
0.4978231890509085
0.4978366139801708
X-intercept
0.02842988930625801
0.028419909704563873
Synthetic X-intercept
0.0
0.0
Elbow Point
0.4478206545820343
0.44996626894627384
Synthetic Elbow Point
0.5039337983891067
0.4990494308219779
JS Distance
0.04063096659595821
0.042136567622778
Synthetic JS Distance
0.1388115110970001
0.13968303203921403
% Genome Enriched
39.40705198574115
38.900686995780624
Diff. Enrichment
6.672923432221439
6.719144286816264
CHANCE Divergence
0.056762250235272114
0.0571870715846315
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
0.29725574263841387
0.26437866143861877
0.2197797905434054
0.21082950382965907
0.2170983014797104
0.20909185739885489
0.4811251808494111
0.280405612816166
0.2644265844676683
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
0.19008659515594045
0.10266044829002706
0.09711399658421617
0.175608263412615
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
0.01357176483723062
0.004914784866644804
0.005417153197619243
0.011218813105988639
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