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
2577042
1281187
6450053
Distinct Fragments
2193377
1120923
6073831
Positions with Two Read
290172
128011
316458
NRF = Distinct/Total
0.851122
0.87491
0.941671
PBC1 = OneRead/Distinct
0.847904
0.872196
0.943625
PBC2 = OneRead/TwoRead
6.409209
7.637344
18.111143
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
7930
516
N1
9420
455
N2
2891
242
Np
7408
600
N optimal
7930
600
N conservative
7930
516
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.070464362850972
1.1627906976744187
Self Consistency Ratio
3.258388101003113
1.8801652892561984
Reproducibility Test
borderline
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
34435
36980
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
104.0
96.0
111.0
111.0
25 percentile
416.0
360.0
444.0
444.0
50 percentile (median)
416.0
360.0
444.0
444.0
75 percentile
416.0
360.0
444.0
444.0
Max size
994.0
360.0
1716.0
1716.0
Mean
415.8607231014956
359.97839372633854
439.20666666666665
443.6204287515763
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
2577042
1281187
Estimated Fragment Length
180
160
Cross-correlation at Estimated Fragment Length
0.444679903037599
0.296761415224705
Phantom Peak
30
30
Cross-correlation at Phantom Peak
0.4421626
0.2932975
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4356141
0.2876355
NSC (Normalized Strand Cross-correlation coeff.)
1.020812
1.031727
RSC (Relative Strand Cross-correlation coeff.)
1.384402
1.611795
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
0.35974245174426756
0.3280209071184808
Synthetic AUC
0.492466795431129
0.48945451351443015
X-intercept
0.0429179925583808
0.05851746186918312
Synthetic X-intercept
1.515491348258737e-150
3.063128152631093e-76
Elbow Point
0.510489091942901
0.5410915039851567
Synthetic Elbow Point
0.4964113662645446
0.5177671399757311
JS Distance
0.04571371893289772
0.0681978293876119
Synthetic JS Distance
0.18339412819786424
0.2109238570888481
% Genome Enriched
36.1221782197971
35.4478438257504
Diff. Enrichment
11.164063765018268
15.658677989501546
CHANCE Divergence
0.09493967846771671
0.1332878499374312
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
0.23062115216225573
0.26282863435889164
0.2687372785252909
0.17693494913554345
0.2644856379002319
0.17834366688343792
0.13086384400803827
0.22591366504799115
0.22470308788598575
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
0.07792828642298065
0.08047351737339044
0.042070159459761176
0.07267148335600299
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
0.017582583477583406
0.013750738173944326
0.0106619555837496
0.01892598870581103
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