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
20462004
44064594
29357281
Distinct Fragments
17910335
35942582
24733867
Positions with Two Read
1942706
5498381
3296133
NRF = Distinct/Total
0.875297
0.815679
0.842512
PBC1 = OneRead/Distinct
0.877155
0.815776
0.844115
PBC2 = OneRead/TwoRead
8.086731
5.332677
6.334156
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
72060
233
N1
43984
26
N2
66778
4
Np
72906
134
N optimal
72906
233
N conservative
72060
233
Optimal Set
pooled-pr1_vs_pooled-pr2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0117402164862614
1.7388059701492538
Self Consistency Ratio
1.518233903237541
6.5
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
96543
102983
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
584.0
568.0
590.0
590.0
25 percentile
584.0
590.0
590.0
590.0
50 percentile (median)
584.0
590.0
590.0
590.0
75 percentile
584.0
590.0
590.0
590.0
Max size
584.0
590.0
590.0
590.0
Mean
584.0
589.9997863725081
590.0
590.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
15000000
15000000
Estimated Fragment Length
155
155
Cross-correlation at Estimated Fragment Length
0.840873277597156
0.847041407621979
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.8415112
0.8479002
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.8372676
0.8439029
NSC (Normalized Strand Cross-correlation coeff.)
1.004306
1.003719
RSC (Relative Strand Cross-correlation coeff.)
0.8496771
0.7851562
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
0.41723031971208224
0.4268254777531015
Synthetic AUC
0.49788313612160323
0.49850469894838023
X-intercept
0.028545894753257348
0.028026078768116088
Synthetic X-intercept
0.0
0.0
Elbow Point
0.42672094078696143
0.3713925270454259
Synthetic Elbow Point
0.5036472725378635
0.4988644594269735
JS Distance
0.0058041262560204416
0.018533283591760083
Synthetic JS Distance
0.1284499697597106
0.1212130225487505
% Genome Enriched
50.067276184230785
59.187647572759246
Diff. Enrichment
3.031422117404631
1.3839700149461953
CHANCE Divergence
0.026213565989969705
0.012620443761968685
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
0.49674175619079153
0.5017840219597269
0.38556526539071595
0.49701852576561445
0.4797903318184384
0.49756492630408133
0.5039370221968535
0.5021055486491286
0.5038410235225708
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
0.3623973898160924
0.24260308986802365
0.3389371054647064
0.3654876302033063
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
0.001984807857131402
0.0007830316298369969
2.7651060749213558e-05
0.0012126421864355136
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