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
12242432
7145415
14832835
Distinct Fragments
11103194
6720848
14033827
Positions with Two Read
889834
339337
653355
NRF = Distinct/Total
0.906943
0.940582
0.946132
PBC1 = OneRead/Distinct
0.912023
0.945749
0.950892
PBC2 = OneRead/TwoRead
11.38006
18.731341
20.424804
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
6493
795
N1
6247
576
N2
6505
387
Np
6630
802
N optimal
6630
802
N conservative
6493
795
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0210996457723702
1.0088050314465409
Self Consistency Ratio
1.0412998239154794
1.4883720930232558
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
14302
15527
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
150.0
148.0
148.0
148.0
25 percentile
600.0
590.0
359.75
590.0
50 percentile (median)
600.0
590.0
590.0
590.0
75 percentile
600.0
590.0
590.0
590.0
Max size
600.0
590.0
623.0
623.0
Mean
596.7210180394351
588.2062214207509
494.95261845386534
577.8674208144796
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
12242432
7145415
Estimated Fragment Length
185
220
Cross-correlation at Estimated Fragment Length
0.811203669519923
0.725212900237383
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.8103204
0.7245228
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.8053951
0.7197641
NSC (Normalized Strand Cross-correlation coeff.)
1.007212
1.00757
RSC (Relative Strand Cross-correlation coeff.)
1.179339
1.145007
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
0.4007682764869214
0.39212648282322893
Synthetic AUC
0.497278038446292
0.4965029052334138
X-intercept
0.028959505387374046
0.029907459701963162
Synthetic X-intercept
0.0
0.0
Elbow Point
0.4667627260372117
0.4818581501120582
Synthetic Elbow Point
0.5018662493414205
0.498115367664846
JS Distance
0.018986028813726043
0.02297024713839309
Synthetic JS Distance
0.14784160517279296
0.15517337502727108
% Genome Enriched
31.541533370985412
34.68973954206822
Diff. Enrichment
4.944606901166127
6.260698305427859
CHANCE Divergence
0.0427461592095386
0.05346565512840961
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
0.11735427823730839
0.12961393103602048
0.13895678289993255
0.17620112060690077
0.13732398869780685
0.17578526342326573
0.11984679940701176
0.12204413108960119
0.12451296135536594
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
0.05809100727236179
0.05745184926579436
0.06043828061999948
0.05904649187512788
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
0.01230307011403896
0.009778720047456958
0.007851146612559784
0.012351472509682722
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