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
2042688
3633948
6415361
Distinct Fragments
1905219
3265387
6024390
Positions with Two Read
114067
288775
297824
NRF = Distinct/Total
0.932702
0.898578
0.939057
PBC1 = OneRead/Distinct
0.935206
0.901623
0.945722
PBC2 = OneRead/TwoRead
15.620407
10.195297
19.130084
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
5169
162
N1
7349
53
N2
5844
70
Np
4771
133
N optimal
5169
162
N conservative
5169
162
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0834206665269335
1.218045112781955
Self Consistency Ratio
1.2575290896646132
1.320754716981132
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
24375
16912
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
134.0
127.0
134.0
134.0
25 percentile
536.0
500.0
536.0
536.0
50 percentile (median)
536.0
500.0
536.0
536.0
75 percentile
536.0
500.0
536.0
536.0
Max size
13417.0
1005.0
13434.0
13434.0
Mean
547.5366564102565
499.80351229895933
2110.3271604938273
585.4554072354421
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
2042688
3633948
Estimated Fragment Length
125
90
Cross-correlation at Estimated Fragment Length
0.435095207883848
0.555380961491406
Phantom Peak
40
35
Cross-correlation at Phantom Peak
0.4340901
0.553999
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4231738
0.5469496
NSC (Normalized Strand Cross-correlation coeff.)
1.028171
1.015415
RSC (Relative Strand Cross-correlation coeff.)
1.092075
1.196033
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
0.34508571212081657
0.3666911270860138
Synthetic AUC
0.4919368286175284
0.49382734689495605
X-intercept
0.04611262620922452
0.039576978400043095
Synthetic X-intercept
3.101267497655075e-131
6.012889221207083e-225
Elbow Point
0.53533858286567
0.5144568290138074
Synthetic Elbow Point
0.5098524665042837
0.5020652036996582
JS Distance
0.061401979435826856
0.0395423809769722
Synthetic JS Distance
0.207550588888591
0.18474606294151205
% Genome Enriched
37.5424687432045
38.28042238319724
Diff. Enrichment
12.85622764983465
8.304459581447777
CHANCE Divergence
0.10941607234729907
0.0706066083094518
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
0.2000751301175916
0.12657507198483614
0.2452307944202704
0.1903900690896159
0.24122997910863508
0.20203420865137475
0.10053422336076802
0.16270798227404426
0.15739958834555065
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
0.05633713505624805
0.07576742824426097
0.049034492841638834
0.0522136954746764
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
0.012966305575149323
0.013907361974315862
0.0039508451398191265
0.012142920362289493
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