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
7714833
6938433
6088106
Distinct Fragments
6423704
5840150
5244245
Positions with Two Read
949812
822608
660237
NRF = Distinct/Total
0.832643
0.84171
0.861392
PBC1 = OneRead/Distinct
0.827449
0.837118
0.8576
PBC2 = OneRead/TwoRead
5.596144
5.943165
6.811892
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
88284
1026
N1
69268
633
N2
67102
523
Np
89421
1019
N optimal
89421
1026
N conservative
88284
1026
Optimal Set
pooled-pr1_vs_pooled-pr2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0128788908522495
1.0068694798822375
Self Consistency Ratio
1.032279216714852
1.2103250478011471
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
130601
135177
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
82.0
83.0
88.0
88.0
25 percentile
330.0
320.0
350.0
350.0
50 percentile (median)
330.0
320.0
350.0
350.0
75 percentile
330.0
320.0
350.0
350.0
Max size
342.0
320.0
457.0
457.0
Mean
329.8968767467324
319.9357656997862
333.0711500974659
349.80503461155655
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
7252749
6529433
Estimated Fragment Length
180
175
Cross-correlation at Estimated Fragment Length
0.675782918042234
0.654736360695663
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6753678
0.6545602
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6710619
0.6505569
NSC (Normalized Strand Cross-correlation coeff.)
1.007035
1.006424
RSC (Relative Strand Cross-correlation coeff.)
1.096395
1.044
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
0.4117990091782905
0.4125224167029383
Synthetic AUC
0.49822887690207746
0.4981415329045851
X-intercept
0.018611788463764184
0.018739498816683763
Synthetic X-intercept
0.0
0.0
Elbow Point
0.536858405137149
0.528501358917974
Synthetic Elbow Point
0.5001540717510727
0.501108298351597
JS Distance
0.06425032911292149
0.06351843231727193
Synthetic JS Distance
0.13548246580558823
0.13347348823717767
% Genome Enriched
47.4553712180774
48.09531981466035
Diff. Enrichment
5.451278865020476
4.943785115892468
CHANCE Divergence
0.046699459767421334
0.042448579812540715
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
0.5740149082396315
0.5868666074306048
0.5679817916742003
0.572019241762611
0.567910793069719
0.5720475931748031
0.5830604319443377
0.5803373897400035
0.5813318846471435
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
0.41775412894182395
0.34662882155251806
0.33118490268796
0.42282664204312165
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
0.013285592447725201
0.009742798674568148
0.007841582725685898
0.01330041889381551
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