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
4733239
4086676
3385836
Distinct Fragments
4549448
3957184
3284913
Positions with Two Read
158516
112301
83554
NRF = Distinct/Total
0.96117
0.968314
0.970193
PBC1 = OneRead/Distinct
0.963051
0.969964
0.972646
PBC2 = OneRead/TwoRead
27.63979
34.178903
38.239438
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
52963
254
N1
17710
25
N2
13552
61
Np
52840
258
N optimal
52963
258
N conservative
52963
254
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.002327781983346
1.015748031496063
Self Consistency Ratio
1.3068181818181819
2.44
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
102666
99626
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
304.0
284.0
300.0
300.0
25 percentile
304.0
284.0
300.0
300.0
50 percentile (median)
304.0
284.0
300.0
300.0
75 percentile
304.0
284.0
300.0
300.0
Max size
304.0
284.0
300.0
300.0
Mean
304.0
284.0
300.0
300.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4733239
4086676
Estimated Fragment Length
90
90
Cross-correlation at Estimated Fragment Length
0.644765851598268
0.614103072351171
Phantom Peak
40
40
Cross-correlation at Phantom Peak
0.6406712
0.6099741
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.635566
0.6048699
NSC (Normalized Strand Cross-correlation coeff.)
1.014475
1.015265
RSC (Relative Strand Cross-correlation coeff.)
1.802049
1.808929
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
0.3751435700603794
0.37812197427310723
Synthetic AUC
0.494753187399768
0.49437558095642326
X-intercept
0.03717963039800836
0.037933675912036
Synthetic X-intercept
0.0
2.679157933104377e-271
Elbow Point
0.4772409913504197
0.4809773068207207
Synthetic Elbow Point
0.5048543229784718
0.5032626368849992
JS Distance
0.03377848424909784
0.02865330110282493
Synthetic JS Distance
0.16943012800175292
0.16347952558853415
% Genome Enriched
42.142167501835246
42.10306884555233
Diff. Enrichment
7.171447835862354
6.516239083499331
CHANCE Divergence
0.06127617372482431
0.05564517553826101
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
0.41026507245682836
0.3799043173314466
0.25999584417136246
0.2352865153252266
0.2640655689597381
0.2355789375904298
0.4525073702658792
0.39934157673931325
0.3980365686908508
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
0.21614701608908987
0.08894088311797853
0.06562741614135773
0.21508527028536414
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
0.002705102804359594
0.00041360598966490227
0.0008857449584603537
0.002723072617188138
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