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
10016550
10077571
10313325
Distinct Fragments
8773982
8793376
9151697
Positions with Two Read
998965
1026575
963553
NRF = Distinct/Total
0.875949
0.872569
0.887366
PBC1 = OneRead/Distinct
0.873044
0.869455
0.884457
PBC2 = OneRead/TwoRead
7.668008
7.447526
8.40045
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
51174
2810
N1
49336
1933
N2
46244
2141
Np
52376
2993
N optimal
52376
2993
N conservative
51174
2810
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0234884902489545
1.0651245551601423
Self Consistency Ratio
1.0668627281377043
1.107604759441283
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
81252
76348
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
90.0
94.0
105.0
105.0
25 percentile
360.0
376.0
359.0
420.0
50 percentile (median)
360.0
376.0
420.0
420.0
75 percentile
360.0
376.0
420.0
420.0
Max size
1695.0
4300.0
4344.0
4344.0
Mean
359.30543248166197
375.70842720176034
448.3050451052456
421.198506949748
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
9499995
9572187
Estimated Fragment Length
160
155
Cross-correlation at Estimated Fragment Length
0.749948280434162
0.750718327027602
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.748417
0.7494876
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7404265
0.7396175
NSC (Normalized Strand Cross-correlation coeff.)
1.01286
1.015009
RSC (Relative Strand Cross-correlation coeff.)
1.191636
1.124697
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
0.38796903504157537
0.3806722355230738
Synthetic AUC
0.49848886334075126
0.4984817985044471
X-intercept
0.01851012375362704
0.018805678647956178
Synthetic X-intercept
0.0
0.0
Elbow Point
0.6053123995263133
0.6358284423657972
Synthetic Elbow Point
0.4998484406309055
0.5020081296223398
JS Distance
0.08351704275310712
0.09564370609565942
Synthetic JS Distance
0.18033998659133013
0.19491946038619262
% Genome Enriched
37.52448812088994
33.57863058234299
Diff. Enrichment
11.816521025399057
12.38729730350272
CHANCE Divergence
0.10074670476621582
0.10637883277979829
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
0.4170300440536177
0.4002298748068505
0.44661343164479905
0.4316124130154986
0.44798512261072093
0.42907839002039944
0.384115467133462
0.40758026751757503
0.40714747752806085
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
0.309655704750613
0.29656675112116615
0.2895873031309043
0.3154117835261425
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
0.041296730927414184
0.028878617571612475
0.034774194329022796
0.04334435276748556
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