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
4190801
1800189
794940
Distinct Fragments
2853489
1584255
781085
Positions with Two Read
649356
168388
12213
NRF = Distinct/Total
0.680893
0.880049
0.982571
PBC1 = OneRead/Distinct
0.674285
0.87975
0.983463
PBC2 = OneRead/TwoRead
2.963034
8.277003
62.897568
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
36989
2594
N1
30186
2287
N2
19070
1288
Np
40833
4749
N optimal
40833
4749
N conservative
36989
2594
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.103922787855849
1.830763299922899
Self Consistency Ratio
1.5829050865233352
1.7756211180124224
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
56569
51434
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
148.0
134.0
141.0
141.0
25 percentile
590.0
516.0
564.0
564.0
50 percentile (median)
590.0
516.0
564.0
564.0
75 percentile
590.0
516.0
564.0
564.0
Max size
3488.0
1709.0
3497.0
3497.0
Mean
589.4248793508813
515.8119142979352
559.7898504948411
563.4400607351897
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4190801
1800189
Estimated Fragment Length
105
160
Cross-correlation at Estimated Fragment Length
0.566693912088701
0.419742116587741
Phantom Peak
35
30
Cross-correlation at Phantom Peak
0.549643
0.4074895
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4870228
0.3724527
NSC (Normalized Strand Cross-correlation coeff.)
1.163588
1.126968
RSC (Relative Strand Cross-correlation coeff.)
1.272291
1.349707
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
0.18096921807252947
0.20882015792040645
Synthetic AUC
0.4931565593969221
0.4908175586947707
X-intercept
0.07525751398274995
0.09765185545706238
Synthetic X-intercept
9.725706536164936e-183
6.540873411882361e-101
Elbow Point
0.7462360272234767
0.6946554379133987
Synthetic Elbow Point
0.5099350734932552
0.5133646003249456
JS Distance
0.26893746246696887
0.19602875459501343
Synthetic JS Distance
0.45816895557648235
0.3925067821132327
% Genome Enriched
19.775717488610344
24.761635004348417
Diff. Enrichment
35.40829306837863
29.30293103880894
CHANCE Divergence
0.30407464153445757
0.2510136667094477
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
0.6024607367481594
0.527600930991046
0.5553155331804828
0.44791827069927825
0.5580252940120298
0.45397299419140347
0.6025698508137606
0.5736246921305803
0.5708464040294563
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
0.4521528096655353
0.44034913916295676
0.3060809770357225
0.47353426959922074
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
0.11745409797226548
0.11861368326737587
0.07029196969735217
0.16910538976175873
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