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
938373
1948336
7682244
Distinct Fragments
882147
1643207
6904239
Positions with Two Read
50176
226534
543055
NRF = Distinct/Total
0.940081
0.84339
0.898727
PBC1 = OneRead/Distinct
0.939835
0.840355
0.908213
PBC2 = OneRead/TwoRead
16.523298
6.095677
11.546749
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
9181
441
N1
3154
41
N2
6473
552
Np
9222
632
N optimal
9222
632
N conservative
9181
441
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0044657444722798
1.433106575963719
Self Consistency Ratio
2.052314521242866
13.463414634146341
Reproducibility Test
borderline
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
31298
37824
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
125.0
92.0
106.0
106.0
25 percentile
464.0
370.0
424.0
424.0
50 percentile (median)
464.0
370.0
424.0
424.0
75 percentile
464.0
370.0
424.0
424.0
Max size
464.0
370.0
424.0
424.0
Mean
463.97814556840694
369.8627855329949
398.0585443037975
422.1877033181522
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
938373
1948336
Estimated Fragment Length
120
145
Cross-correlation at Estimated Fragment Length
0.265489210050386
0.381306685648682
Phantom Peak
30
30
Cross-correlation at Phantom Peak
0.2640153
0.374016
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.2543337
0.3632067
NSC (Normalized Strand Cross-correlation coeff.)
1.043862
1.049834
RSC (Relative Strand Cross-correlation coeff.)
1.152233
1.674483
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
0.31986195447296245
0.3289227909260899
Synthetic AUC
0.48808647691511337
0.49126810078851274
X-intercept
0.07106317435995659
0.0503375790078529
Synthetic X-intercept
1.621766278031554e-59
1.0247354896519807e-111
Elbow Point
0.5545692874928174
0.5616101640809551
Synthetic Elbow Point
0.5116746461175781
0.5132119129651981
JS Distance
0.0775538577827793
0.07599462028430942
Synthetic JS Distance
0.2104209917385914
0.21815333097003775
% Genome Enriched
41.6191821490136
34.56653418885271
Diff. Enrichment
18.050161542671184
14.630916993049636
CHANCE Divergence
0.15571702107501373
0.12448887837592568
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
0.24690443050559463
0.27101800962149536
0.19004763109849787
0.2321358917745814
0.17658981218705375
0.2269763982944265
0.2118205444889322
0.2512886037880171
0.24859010191091863
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
0.08732004390300564
0.038080023860740046
0.07605696100244365
0.0907565840680133
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
0.012365302086024921
0.002996149744220097
0.016479757554842402
0.016937346554807244
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