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
2663103
1695850
2866681
Distinct Fragments
2231539
1521428
2772095
Positions with Two Read
309824
141947
75404
NRF = Distinct/Total
0.837947
0.897148
0.967005
PBC1 = OneRead/Distinct
0.836292
0.896623
0.970847
PBC2 = OneRead/TwoRead
6.023481
9.610263
35.691475
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
22013
1225
N1
20653
1060
N2
13577
874
Np
26616
2697
N optimal
26616
2697
N conservative
22013
1225
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.2091037114432381
2.2016326530612247
Self Consistency Ratio
1.5211755174191648
1.2128146453089246
Reproducibility Test
pass
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
42897
36120
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
139.0
112.0
128.0
128.0
25 percentile
556.0
450.0
510.0
510.0
50 percentile (median)
556.0
450.0
510.0
510.0
75 percentile
556.0
450.0
510.0
510.0
Max size
4167.0
1206.0
4165.0
4165.0
Mean
555.0073431708511
448.8908637873754
486.5220615498702
507.20972347460173
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
2663103
1695850
Estimated Fragment Length
115
125
Cross-correlation at Estimated Fragment Length
0.493134061360257
0.422427805784139
Phantom Peak
35
35
Cross-correlation at Phantom Peak
0.4815409
0.4095602
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4433741
0.3706699
NSC (Normalized Strand Cross-correlation coeff.)
1.11223
1.139633
RSC (Relative Strand Cross-correlation coeff.)
1.30375
1.330868
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
0.20165264919098844
0.17868598431391616
Synthetic AUC
0.4922635909086756
0.4906312341358853
X-intercept
0.0838034068695895
0.13531136554035186
Synthetic X-intercept
1.1123176188341821e-142
6.798823952995213e-97
Elbow Point
0.7035863884788766
0.7208421430566083
Synthetic Elbow Point
0.49991105297197924
0.4948075204825548
JS Distance
0.2418419432995151
0.2682701890828763
Synthetic JS Distance
0.4138279668674592
0.43117220982064447
% Genome Enriched
24.55040491482826
23.97434874536243
Diff. Enrichment
32.27766542584868
36.87436708223488
CHANCE Divergence
0.2768771939603197
0.3178748098904695
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
0.5083246345268738
0.48410701238902704
0.46163996145485514
0.43153446273042173
0.47483627262736494
0.434389931090308
0.5129684709420722
0.489574868203761
0.4908130258929856
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
0.3313040996861029
0.33703262310137067
0.282283349715373
0.37416286784855673
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
0.058378568777458666
0.057415260029697705
0.05079001729312638
0.10241714872955746
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