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
1497071
980310
1960073
Distinct Fragments
1395249
918428
1899348
Positions with Two Read
85021
53094
45449
NRF = Distinct/Total
0.931986
0.936875
0.969019
PBC1 = OneRead/Distinct
0.933557
0.937744
0.973836
PBC2 = OneRead/TwoRead
15.320274
16.22123
40.697331
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
17062
1026
N1
12856
793
N2
7583
354
Np
19513
1421
N optimal
19513
1421
N conservative
17062
1026
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.143652561247216
1.384990253411306
Self Consistency Ratio
1.695371225108796
2.2401129943502824
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
37337
31388
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
118.0
110.0
116.0
116.0
25 percentile
470.0
436.0
464.0
464.0
50 percentile (median)
470.0
436.0
464.0
464.0
75 percentile
470.0
436.0
464.0
464.0
Max size
3617.0
545.0
3632.0
3632.0
Mean
469.7672817848247
435.5723843507073
460.92892329345534
463.48931481576386
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
1497071
980310
Estimated Fragment Length
120
120
Cross-correlation at Estimated Fragment Length
0.419381056697001
0.304154925618153
Phantom Peak
35
35
Cross-correlation at Phantom Peak
0.4072746
0.2919257
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.3586767
0.2689181
NSC (Normalized Strand Cross-correlation coeff.)
1.169245
1.131032
RSC (Relative Strand Cross-correlation coeff.)
1.249115
1.531529
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
0.17856102501933896
0.19479121827250434
Synthetic AUC
0.49022298296061095
0.4879434362288719
X-intercept
0.13798942516539384
0.16918339220430054
Synthetic X-intercept
7.117812357452158e-89
4.323269160589414e-58
Elbow Point
0.7226748627285945
0.7006715478709719
Synthetic Elbow Point
0.5098229546706129
0.5222493126796945
JS Distance
0.25610611255671295
0.2076077564980206
Synthetic JS Distance
0.43128449739061087
0.3805509496127263
% Genome Enriched
22.633975495583183
25.010620708087096
Diff. Enrichment
35.71430372340931
32.26555939220106
CHANCE Divergence
0.30708673188082486
0.27715237106327717
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
0.48572391121487307
0.4133309261913721
0.420047036204144
0.3373580456907446
0.4265617221430656
0.3364075146331755
0.5027106117732544
0.4540184107582205
0.4567316114634456
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
0.29624328711514447
0.27613742353755744
0.18119797365049603
0.3198681543245088
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
0.06343918900843043
0.05813291447078548
0.028128758893555747
0.07727918783478127
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