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
5536978
5648932
8162042
Distinct Fragments
4928768
5154287
7704518
Positions with Two Read
469939
382968
356148
NRF = Distinct/Total
0.890155
0.912436
0.943945
PBC1 = OneRead/Distinct
0.893075
0.917508
0.949649
PBC2 = OneRead/TwoRead
9.36666
12.348549
20.543667
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
9075
96
N1
7871
48
N2
8224
37
Np
8449
91
N optimal
9075
96
N conservative
9075
96
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0740916084743757
1.054945054945055
Self Consistency Ratio
1.0448481768517341
1.2972972972972974
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
19429
21144
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
156.0
544.0
210.0
210.0
25 percentile
580.0
544.0
596.0
596.0
50 percentile (median)
580.0
544.0
596.0
596.0
75 percentile
580.0
544.0
596.0
596.0
Max size
580.0
544.0
596.0
596.0
Mean
579.9586700293376
544.0
575.7916666666666
595.7862258953168
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
5536978
5648932
Estimated Fragment Length
95
125
Cross-correlation at Estimated Fragment Length
0.650088066625325
0.663806840711535
Phantom Peak
35
30
Cross-correlation at Phantom Peak
0.6499089
0.6633888
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.643958
0.6575014
NSC (Normalized Strand Cross-correlation coeff.)
1.009519
1.00959
RSC (Relative Strand Cross-correlation coeff.)
1.030115
1.071009
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
0.38100998542413433
0.37912129206382
Synthetic AUC
0.4949693100850051
0.49507998268934594
X-intercept
0.03633367448522972
0.03655911404249037
Synthetic X-intercept
0.0
0.0
Elbow Point
0.48243666245713157
0.48200573374590766
Synthetic Elbow Point
0.49803941827314474
0.4997954007815654
JS Distance
0.020044850164863848
0.017751737937128847
Synthetic JS Distance
0.16969164981333507
0.17181280303433336
% Genome Enriched
37.68930438928823
38.51385455756988
Diff. Enrichment
6.441416809027972
6.247997841640995
CHANCE Divergence
0.054728454901457266
0.053092879581384755
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
0.14503015325532825
0.1520402944074441
0.20875370985773445
0.22329130915478843
0.22134915882975412
0.22552924457625678
0.48588989689399004
0.14139481618857458
0.1583442007094997
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
0.06335154979756286
0.06143597081289236
0.06235372646228163
0.05853026441423993
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
0.0022979884582456436
0.0031735912634086806
0.0019445534835234282
0.004268820732721293
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