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
14425610
8411423
14571993
Distinct Fragments
12653541
7628971
12932823
Positions with Two Read
1331482
627245
1267095
NRF = Distinct/Total
0.877158
0.906977
0.887512
PBC1 = OneRead/Distinct
0.879791
0.908828
0.889448
PBC2 = OneRead/TwoRead
8.36096
11.053775
9.078301
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
29193
1086
N1
18364
871
N2
9809
514
Np
31172
1147
N optimal
31172
1147
N conservative
29193
1086
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0677902236837598
1.0561694290976058
Self Consistency Ratio
1.8721582220409827
1.6945525291828794
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
94792
31645
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
143.0
136.0
136.0
136.0
25 percentile
550.0
540.0
544.0
544.0
50 percentile (median)
550.0
540.0
544.0
544.0
75 percentile
550.0
540.0
544.0
544.0
Max size
584.0
558.0
706.0
706.0
Mean
549.770138830281
539.3472586506557
510.92414995640803
542.7741562941101
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
14425610
8411423
Estimated Fragment Length
150
160
Cross-correlation at Estimated Fragment Length
0.827057641365943
0.743868537805701
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.8252059
0.7419753
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.8181977
0.7353802
NSC (Normalized Strand Cross-correlation coeff.)
1.010829
1.011543
RSC (Relative Strand Cross-correlation coeff.)
1.264227
1.287064
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
0.4036318689183076
0.3970313619551995
Synthetic AUC
0.4974823220515214
0.4967584241118097
X-intercept
0.028815297911744045
0.02965147838303851
Synthetic X-intercept
0.0
0.0
Elbow Point
0.48341209528066925
0.4962561466249441
Synthetic Elbow Point
0.5035484825996113
0.5058848864672092
JS Distance
0.02836644523946591
0.03311985906873343
Synthetic JS Distance
0.14679179750849555
0.1514098160402313
% Genome Enriched
44.05034644613321
43.05491251037742
Diff. Enrichment
4.581561367355985
5.902758646782064
CHANCE Divergence
0.03904879975304151
0.05026765191105153
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
0.49737199709670504
0.21955321304517525
0.24634984496027348
0.2286146369138462
0.27628887202799035
0.23121325416063587
0.5070695445458604
0.2959697347308635
0.3566681335189399
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
0.1768572189310774
0.1220998131960991
0.07980605814461193
0.1872095549086833
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
0.01824143368531876
0.015291870734700177
0.011534270008922235
0.01894435093221095
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