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
7042936
6776848
7187868
Distinct Fragments
6153078
5999438
6451606
Positions with Two Read
723797
642908
628625
NRF = Distinct/Total
0.873652
0.885284
0.897569
PBC1 = OneRead/Distinct
0.86967
0.882242
0.894563
PBC2 = OneRead/TwoRead
7.393161
8.232837
9.180938
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
82294
1005
N1
32617
438
N2
31267
463
Np
82269
1004
N optimal
82294
1005
N conservative
82294
1005
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.000303881170307
1.000996015936255
Self Consistency Ratio
1.0431765119774843
1.0570776255707763
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
134661
136220
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
66.0
64.0
70.0
70.0
25 percentile
264.0
256.0
280.0
280.0
50 percentile (median)
264.0
256.0
280.0
280.0
75 percentile
264.0
256.0
280.0
280.0
Max size
264.0
256.0
280.0
280.0
Mean
263.95247324763665
255.9599324621935
268.57114427860694
279.8595887914064
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
6619674
6383030
Estimated Fragment Length
170
165
Cross-correlation at Estimated Fragment Length
0.673383970241752
0.670560522786076
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6740833
0.6708802
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6697785
0.6665002
NSC (Normalized Strand Cross-correlation coeff.)
1.005383
1.006092
RSC (Relative Strand Cross-correlation coeff.)
0.8375362
0.9270172
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
0.4161879928127848
0.41543875012127196
Synthetic AUC
0.49817895561791625
0.4981574155171559
X-intercept
0.018923288819689802
0.018921292692177176
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5057987504241771
0.5070203804619039
Synthetic Elbow Point
0.500249565757584
0.5000723100523945
JS Distance
0.027671403900655287
0.02804090651412583
Synthetic JS Distance
0.12470045248445856
0.1259867150071527
% Genome Enriched
43.82557837794678
42.94029582609737
Diff. Enrichment
8.081409862080086
8.166385378254814
CHANCE Divergence
0.06868825408076872
0.06939778167503668
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
0.5413606943638023
0.5407478972304939
0.39114001197536497
0.3828028886772212
0.3806000059617618
0.3682467103372504
0.5366853966220466
0.5405805493336526
0.5409499540294556
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
0.35212399498383856
0.15963054573448904
0.15224368504687272
0.3519271541157375
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
0.009605219235617699
0.005295599701393497
0.00554251735654871
0.009650000533110685
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