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
5612632
7444705
6725335
Distinct Fragments
4820422
6179439
5631975
Positions with Two Read
611289
931055
812128
NRF = Distinct/Total
0.858852
0.830045
0.837427
PBC1 = OneRead/Distinct
0.855578
0.824182
0.832551
PBC2 = OneRead/TwoRead
6.746801
5.470118
5.773605
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
53421
1021
N1
28292
442
N2
29976
393
Np
40280
934
N optimal
53421
1021
N conservative
53421
1021
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.3262413108242304
1.0931477516059958
Self Consistency Ratio
1.0595221263961543
1.1246819338422391
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
74957
130212
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
71.0
67.0
74.0
74.0
25 percentile
280.0
264.0
296.0
296.0
50 percentile (median)
280.0
264.0
296.0
296.0
75 percentile
280.0
264.0
296.0
296.0
Max size
280.0
264.0
296.0
296.0
Mean
279.9622049975319
263.9802936749301
288.8570029382958
295.8589693191816
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
5255898
6979713
Estimated Fragment Length
190
160
Cross-correlation at Estimated Fragment Length
0.612478525051785
0.664703490106367
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6127647
0.6646279
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6079878
0.6602982
NSC (Normalized Strand Cross-correlation coeff.)
1.007386
1.006672
RSC (Relative Strand Cross-correlation coeff.)
0.9400978
1.01745
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
0.39970877118582676
0.408499628621071
Synthetic AUC
0.4979512845572517
0.4981914627232132
X-intercept
0.019570623904703738
0.019323121878779895
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5407160792485519
0.5282591426050786
Synthetic Elbow Point
0.5007568287892876
0.49960583975635403
JS Distance
0.05087628096443426
0.03680539359249907
Synthetic JS Distance
0.14794943115822057
0.13758568998359216
% Genome Enriched
41.40110098481855
41.38453431695429
Diff. Enrichment
10.191287710393148
8.921997509414597
CHANCE Divergence
0.08663316337171519
0.07583996100584715
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
0.3712388660186986
0.5358948725936842
0.3837648919646919
0.3611128919862872
0.384405339931187
0.37294082056929084
0.5305334867928955
0.371654235187037
0.364935190005771
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
0.26172162657481296
0.15982502961555356
0.15443503426421737
0.2071114857893018
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
0.010927884263781492
0.0062332114829428045
0.004866594909030927
0.01011115198216992
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