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
4136738
9041450
15213343
Distinct Fragments
3736669
7361747
14452484
Positions with Two Read
302461
1107388
661119
NRF = Distinct/Total
0.903289
0.814222
0.949987
PBC1 = OneRead/Distinct
0.909934
0.819484
0.951961
PBC2 = OneRead/TwoRead
11.241529
5.447806
20.810477
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
13706
2340
N1
8962
959
N2
11323
1712
Np
14167
2442
N optimal
14167
2442
N conservative
13706
2340
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0336349044214213
1.0435897435897437
Self Consistency Ratio
1.2634456594510155
1.7851929092805006
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
21419
26733
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
140.0
136.0
138.0
138.0
25 percentile
560.0
544.0
314.0
550.0
50 percentile (median)
560.0
544.0
550.0
550.0
75 percentile
560.0
544.0
550.0
550.0
Max size
3616.0
3769.0
4138.0
4138.0
Mean
558.2086932163032
539.332024090076
490.0990990990991
538.5293287216772
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4136738
9041450
Estimated Fragment Length
210
185
Cross-correlation at Estimated Fragment Length
0.590429197750952
0.726930508211941
Phantom Peak
50
55
Cross-correlation at Phantom Peak
0.5854419
0.7209991
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5736677
0.7100765
NSC (Normalized Strand Cross-correlation coeff.)
1.029218
1.023736
RSC (Relative Strand Cross-correlation coeff.)
1.423581
1.54304
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
0.35181334076272114
0.36588168417531175
Synthetic AUC
0.49531743843809034
0.4966575775826623
X-intercept
0.03264115092290988
0.03001852206680718
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5918478955099955
0.5858202401481766
Synthetic Elbow Point
0.5052445786808681
0.5055790148643747
JS Distance
0.11768607033540911
0.09810945533435357
Synthetic JS Distance
0.2113317564501
0.1963282483212318
% Genome Enriched
29.70416586830172
25.83568850993166
Diff. Enrichment
14.191007805711575
11.861665206478122
CHANCE Divergence
0.12244388707783944
0.10482429531532157
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
0.2221991281637639
0.23594532534409435
0.23280563423817607
0.21764670715634724
0.23352202960588025
0.21668202013614316
0.27183091658718533
0.2259579381012844
0.22926825493211891
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
0.146972253020404
0.12222441615777577
0.1294940148643324
0.1511285902603596
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
0.049709930170690766
0.03281363707704897
0.03785690022962269
0.05137694643833988
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