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
3017632
3581027
6003345
Distinct Fragments
2828439
3399118
5805387
Positions with Two Read
166802
158962
166293
NRF = Distinct/Total
0.937304
0.949202
0.967025
PBC1 = OneRead/Distinct
0.937383
0.950359
0.969724
PBC2 = OneRead/TwoRead
15.895073
20.321725
33.85365
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
8874
393
N1
12292
205
N2
6142
164
Np
2743
329
N optimal
8874
393
N conservative
8874
393
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
3.2351440029165146
1.1945288753799392
Self Consistency Ratio
2.0013025073266038
1.25
Reproducibility Test
fail
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
70421
13098
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
118.0
98.0
109.0
109.0
25 percentile
460.0
390.0
430.0
430.0
50 percentile (median)
460.0
390.0
430.0
430.0
75 percentile
460.0
390.0
430.0
430.0
Max size
460.0
402.0
430.0
430.0
Mean
459.9724229988214
389.9219728202779
423.37150127226465
429.68199233716473
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
3017632
3581027
Estimated Fragment Length
150
165
Cross-correlation at Estimated Fragment Length
0.525074535405372
0.573418785272554
Phantom Peak
30
30
Cross-correlation at Phantom Peak
0.5246047
0.5709587
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5171038
0.56369
NSC (Normalized Strand Cross-correlation coeff.)
1.015414
1.017259
RSC (Relative Strand Cross-correlation coeff.)
1.062642
1.338443
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
0.37005330054583424
0.3620209746716731
Synthetic AUC
0.49335258365385526
0.49393409300140917
X-intercept
0.04025751723697651
0.03936175306435138
Synthetic X-intercept
9.090698694412382e-194
5.3235386854163135e-233
Elbow Point
0.5074474112614913
0.5046304424157303
Synthetic Elbow Point
0.5011209287951209
0.5092764664838167
JS Distance
0.035623865373776556
0.02453781887377969
Synthetic JS Distance
0.17011283339957392
0.18368359650355442
% Genome Enriched
34.425673518896836
30.645109805924413
Diff. Enrichment
7.586529293291972
5.866235053613689
CHANCE Divergence
0.06456711764062173
0.05010975722343797
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
0.37280660472969995
0.0964864405441104
0.25322727791886224
0.22052359439460645
0.2525809428663888
0.2120208587653025
0.42434576099384547
0.08248533054488745
0.07667654455461405
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
0.06331142151518637
0.08627322415929468
0.05057532748880186
0.027412091363920178
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
0.0065033857651457605
0.005250717809609924
0.003575300772397668
0.006021078017883349
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