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
5779713
7578548
7408286
Distinct Fragments
4829051
6033383
6580056
Positions with Two Read
566289
706588
536266
NRF = Distinct/Total
0.835517
0.796113
0.888202
PBC1 = OneRead/Distinct
0.853711
0.839005
0.901903
PBC2 = OneRead/TwoRead
7.280057
7.164056
11.066471
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
13723
6951
N1
10895
4385
N2
15161
7913
Np
15491
8330
N optimal
15491
8330
N conservative
13723
6951
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.1288348028856663
1.1983887210473314
Self Consistency Ratio
1.3915557595227168
1.8045610034207527
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
20760
31179
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
85.0
90.0
89.0
89.0
25 percentile
340.0
360.0
356.0
356.0
50 percentile (median)
340.0
360.0
356.0
356.0
75 percentile
340.0
360.0
356.0
356.0
Max size
539.0
662.0
665.0
762.0
Mean
332.94523121387283
350.43179704288144
315.96002400960384
334.2613130204635
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
5779713
7578548
Estimated Fragment Length
120
130
Cross-correlation at Estimated Fragment Length
0.671680523255942
0.728992665249972
Phantom Peak
40
40
Cross-correlation at Phantom Peak
0.6298564
0.6665554
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5694458
0.5745755
NSC (Normalized Strand Cross-correlation coeff.)
1.179534
1.26875
RSC (Relative Strand Cross-correlation coeff.)
1.69233
1.678815
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
0.29360405080243546
0.26051292042550767
Synthetic AUC
0.49490846297947944
0.49544543371846467
X-intercept
0.03848724573777197
0.0382119092985904
Synthetic X-intercept
0.0
0.0
Elbow Point
0.7094661864905577
0.7626939076824852
Synthetic Elbow Point
0.5083356844943394
0.4958101991368818
JS Distance
0.12564697871284386
0.18044046652093357
Synthetic JS Distance
0.30010307419866855
0.35332165291185624
% Genome Enriched
13.009846270488124
13.808122424955856
Diff. Enrichment
15.388615250168037
22.44930127280694
CHANCE Divergence
0.14176768998576314
0.20069435097593386
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
0.2567371207171416
0.36203398263766273
0.27919658101969225
0.35869266357440477
0.27926002639155867
0.35756470130697865
0.4200468568079685
0.315262474462444
0.3125725668774503
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
0.23755168808251878
0.19637596290778125
0.28514952373822267
0.25626175042792604
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
0.17495428632150137
0.12152097468277671
0.2141852932271249
0.19528027832557524
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