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
9620995
7961142
7775153
Distinct Fragments
8076982
6919404
7549945
Positions with Two Read
1064450
778057
191909
NRF = Distinct/Total
0.839516
0.869147
0.971035
PBC1 = OneRead/Distinct
0.844942
0.871475
0.973273
PBC2 = OneRead/TwoRead
6.411372
7.750187
38.289788
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
13945
2873
N1
11438
2110
N2
10177
1644
Np
13886
2852
N optimal
13945
2873
N conservative
13945
2873
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0042488837678236
1.0073632538569426
Self Consistency Ratio
1.1239068487766533
1.2834549878345498
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
22919
21478
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
144.0
139.0
141.0
141.0
25 percentile
576.0
556.0
564.0
564.0
50 percentile (median)
576.0
556.0
564.0
564.0
75 percentile
576.0
556.0
564.0
564.0
Max size
1644.0
894.0
1618.0
1618.0
Mean
570.5300842096077
551.8740571747835
513.1503654716324
552.7914664754393
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
9620995
7961142
Estimated Fragment Length
265
245
Cross-correlation at Estimated Fragment Length
0.751110552554157
0.723819466229744
Phantom Peak
55
55
Cross-correlation at Phantom Peak
0.74112
0.7166535
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7288721
0.7055299
NSC (Normalized Strand Cross-correlation coeff.)
1.030511
1.025923
RSC (Relative Strand Cross-correlation coeff.)
1.815688
1.644216
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
0.36494036238707306
0.3664016866778077
Synthetic AUC
0.4968103804934115
0.49655618231071613
X-intercept
0.029872425668099233
0.0302694743394826
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5856707329239143
0.5816164469930047
Synthetic Elbow Point
0.5047754590044495
0.5010857359008628
JS Distance
0.09370619842725557
0.08913650011085264
Synthetic JS Distance
0.19950255108845075
0.19598724145602545
% Genome Enriched
25.359638306617345
25.123005279350675
Diff. Enrichment
11.87294539901499
11.64880262576462
CHANCE Divergence
0.10521748824773758
0.10348337549769995
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
0.22450714033644265
0.21006707758801166
0.21652909297914968
0.20811810247686818
0.2150551689479404
0.2077271614998742
0.24238151867952498
0.21286374351821402
0.21580215737132963
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
0.1520203867486134
0.1382071715662471
0.1250806349336431
0.1519446359866087
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
0.0589323606322557
0.04911818197234473
0.0400539379353042
0.058727227302253535
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