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
6152388
5174660
11784876
Distinct Fragments
5545192
4596457
10689434
Positions with Two Read
483500
455043
850245
NRF = Distinct/Total
0.901307
0.888263
0.907047
PBC1 = OneRead/Distinct
0.902964
0.888956
0.911203
PBC2 = OneRead/TwoRead
10.355961
8.979474
11.455811
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
3111
32
N1
6403
31
N2
4466
23
Np
2738
31
N optimal
3111
32
N conservative
3111
32
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.1362308254200146
1.032258064516129
Self Consistency Ratio
1.4337214509628302
1.3478260869565217
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
16790
12863
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
200.0
620.0
194.0
194.0
25 percentile
570.0
620.0
620.0
620.0
50 percentile (median)
570.0
620.0
620.0
620.0
75 percentile
570.0
620.0
620.0
620.0
Max size
570.0
620.0
620.0
620.0
Mean
569.9779630732579
620.0
550.84375
619.4114432658309
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
6152388
5174660
Estimated Fragment Length
125
140
Cross-correlation at Estimated Fragment Length
0.674232177562529
0.632230400796072
Phantom Peak
30
30
Cross-correlation at Phantom Peak
0.6749561
0.6330821
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.667038
0.6249699
NSC (Normalized Strand Cross-correlation coeff.)
1.010785
1.011617
RSC (Relative Strand Cross-correlation coeff.)
0.908577
0.895013
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
0.3775617839930331
0.37749017155114567
Synthetic AUC
0.49525219117307584
0.4947851990443772
X-intercept
0.03610442584543666
0.03696453017549321
Synthetic X-intercept
0.0
0.0
Elbow Point
0.47960694629037603
0.4795191398158459
Synthetic Elbow Point
0.5037386105098068
0.5066631230008822
JS Distance
0.019787162497627183
0.022816448656439454
Synthetic JS Distance
0.17246693338151978
0.17076741277538948
% Genome Enriched
33.77875163140438
34.10583074902914
Diff. Enrichment
5.461049691956543
5.882472135119521
CHANCE Divergence
0.04652482578909256
0.05010443850577357
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
0.12626412485766345
0.10578574062425439
0.20102525480311698
0.16307355269722143
0.1832672632753341
0.18755655814155262
0.05032531503095448
0.1076133234438403
0.09589911144006173
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
0.029418456122191346
0.05061228996591116
0.03857319480294124
0.025821782263881144
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
0.001193877061436247
0.001577301248533475
0.0019443420167884952
0.0015576541451317188
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