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
11541829
14202196
31023213
Distinct Fragments
10198228
12008751
26172287
Positions with Two Read
1002680
1506123
3281083
NRF = Distinct/Total
0.883589
0.845556
0.843636
PBC1 = OneRead/Distinct
0.888044
0.850988
0.849766
PBC2 = OneRead/TwoRead
9.032271
6.785175
6.778345
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
5228
153
N1
6122
136
N2
5648
73
Np
5072
144
N optimal
5228
153
N conservative
5228
153
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0307570977917981
1.0625
Self Consistency Ratio
1.0839235127478755
1.8630136986301369
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
17463
13673
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
128.0
197.0
164.0
164.0
25 percentile
510.0
770.0
656.0
656.0
50 percentile (median)
510.0
770.0
656.0
656.0
75 percentile
510.0
770.0
656.0
656.0
Max size
1477.0
2885.0
2674.0
2674.0
Mean
509.907404226078
770.8709134791194
710.1045751633987
656.4743687834736
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
11541829
14202196
Estimated Fragment Length
165
240
Cross-correlation at Estimated Fragment Length
0.793894188643569
0.813831910671568
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7932499
0.8141835
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7884037
0.8102971
NSC (Normalized Strand Cross-correlation coeff.)
1.006964
1.004362
RSC (Relative Strand Cross-correlation coeff.)
1.132944
0.9095408
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
0.39909209893253456
0.4049272978225587
Synthetic AUC
0.49719656541799717
0.497416302598269
X-intercept
0.029014281434135623
0.02875262159193049
Synthetic X-intercept
0.0
0.0
Elbow Point
0.4682273045041446
0.4516388694696894
Synthetic Elbow Point
0.502614512387784
0.5025703514441311
JS Distance
0.04223460068006548
0.0328345636288207
Synthetic JS Distance
0.14816223734563005
0.14222283063330482
% Genome Enriched
35.183062019374816
35.9634475182263
Diff. Enrichment
5.802600297203786
4.90011479621576
CHANCE Divergence
0.049573292670523954
0.04182278575225001
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
0.1302324848306142
0.12876978123015226
0.17679394777273566
0.16498884370209527
0.1747898346871838
0.1671782048169935
0.10585667610311268
0.1267648323149117
0.1263950343950538
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
0.05002284446830517
0.05131780628081736
0.05559344521775564
0.04845697676086164
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
0.003923503152347811
0.0035086286910475245
0.002737865239901971
0.003815788213728916
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