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
1934248
1734062
837521
Distinct Fragments
1851259
1633956
829643
Positions with Two Read
75070
89561
7427
NRF = Distinct/Total
0.957095
0.942271
0.990594
PBC1 = OneRead/Distinct
0.95744
0.942099
0.990792
PBC2 = OneRead/TwoRead
23.610883
17.187704
110.677797
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
50385
201
N1
23512
20
N2
18563
82
Np
50118
231
N optimal
50385
231
N conservative
50385
201
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.005327427271639
1.1492537313432836
Self Consistency Ratio
1.266605613316813
4.1
Reproducibility Test
pass
borderline
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
79750
71068
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
476.0
550.0
530.0
530.0
25 percentile
476.0
550.0
530.0
530.0
50 percentile (median)
476.0
550.0
530.0
530.0
75 percentile
476.0
550.0
530.0
530.0
Max size
476.0
550.0
530.0
530.0
Mean
476.0
550.0
530.0
530.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
1934248
1734062
Estimated Fragment Length
115
115
Cross-correlation at Estimated Fragment Length
0.424819219344913
0.391923619904445
Phantom Peak
30
35
Cross-correlation at Phantom Peak
0.4242408
0.3910094
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4179849
0.3845549
NSC (Normalized Strand Cross-correlation coeff.)
1.016351
1.019162
RSC (Relative Strand Cross-correlation coeff.)
1.092461
1.141635
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
0.3552143786350654
0.34410298318533755
Synthetic AUC
0.49180695802838126
0.4912895259432103
X-intercept
0.045974764740845935
0.049004511710101686
Synthetic X-intercept
4.5532880364285505e-127
2.814000053533654e-112
Elbow Point
0.5188386834263466
0.5386706611191115
Synthetic Elbow Point
0.5013551448514597
0.5058615320488058
JS Distance
0.05265945577524875
0.04026170796458194
Synthetic JS Distance
0.1866308951592135
0.20058522738164614
% Genome Enriched
38.674849709391616
41.189400074197884
Diff. Enrichment
9.874213352208766
11.569478239871556
CHANCE Divergence
0.08410048630754448
0.09927924683162193
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
0.42422721803843566
0.42518667189299575
0.33607096734847164
0.31087705544748023
0.326350861200095
0.2946125257687059
0.49410987499790626
0.4301040590820748
0.43317605509848345
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
0.2842354732725021
0.14074445781282682
0.13257817717255596
0.2771119636182046
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
0.0038530317642326115
0.0005237386271414303
0.002379068552016492
0.0041150674493480475
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