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
17711294
18962489
15415623
Distinct Fragments
14927992
15793241
13563564
Positions with Two Read
2088381
2310081
1536587
NRF = Distinct/Total
0.842852
0.832868
0.879858
PBC1 = OneRead/Distinct
0.838521
0.828709
0.87571
PBC2 = OneRead/TwoRead
5.993849
5.6656
7.729953
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
44228
5431
N1
41662
4455
N2
42156
4501
Np
44565
5577
N optimal
44565
5577
N conservative
44228
5431
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.007619607488469
1.026882710366415
Self Consistency Ratio
1.0118573280207384
1.0103254769921437
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
64973
66006
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
84.0
94.0
94.0
25 percentile
360.0
336.0
263.0
376.0
50 percentile (median)
360.0
336.0
376.0
376.0
75 percentile
360.0
336.0
376.0
376.0
Max size
1596.0
1746.0
1742.0
1742.0
Mean
356.8332538131224
333.3061994364149
340.3188093957325
371.2232020644003
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
15000000
15000000
Estimated Fragment Length
160
140
Cross-correlation at Estimated Fragment Length
0.817083337390419
0.817287117471362
Phantom Peak
55
55
Cross-correlation at Phantom Peak
0.8100484
0.8112419
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7949408
0.7960078
NSC (Normalized Strand Cross-correlation coeff.)
1.027854
1.026733
RSC (Relative Strand Cross-correlation coeff.)
1.465659
1.396818
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
0.37253361756473774
0.3741600553540664
Synthetic AUC
0.4988271722027435
0.4988523551438666
X-intercept
0.01879564778642581
0.01893152956927473
Synthetic X-intercept
0.0
0.0
Elbow Point
0.6725408894261992
0.6672295103260164
Synthetic Elbow Point
0.500350781580908
0.5013098756691835
JS Distance
0.12451465411996333
0.11862099314460785
Synthetic JS Distance
0.21357513921881124
0.21045333532196336
% Genome Enriched
19.38893162948235
18.710521845993984
Diff. Enrichment
11.979583294831308
11.605819820241347
CHANCE Divergence
0.11186420151676223
0.10936834287827259
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
0.3580538386795146
0.35149707077338216
0.38732038030182586
0.3783921433132989
0.38898390891945334
0.3793065535624044
0.3358268792132207
0.3523489082830385
0.35485167284004926
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
0.28329988706142517
0.27838535834786493
0.27056578099410483
0.2846237722244587
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
0.1010986203561895
0.09281283067589756
0.0897086895552594
0.10209111525706586
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