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
7298967
7202823
8800571
Distinct Fragments
6201885
6047211
7355422
Positions with Two Read
845460
863150
1098823
NRF = Distinct/Total
0.849694
0.839561
0.835789
PBC1 = OneRead/Distinct
0.844662
0.834762
0.828501
PBC2 = OneRead/TwoRead
6.196032
5.848322
5.545914
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
25625
6626
N1
20700
6533
N2
23312
4653
Np
25431
7338
N optimal
25625
7338
N conservative
25625
6626
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0076284849199795
1.107455478418352
Self Consistency Ratio
1.126183574879227
1.404040404040404
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
42865
51190
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
84.0
79.0
86.0
86.0
25 percentile
336.0
316.0
222.0
344.0
50 percentile (median)
336.0
316.0
344.0
344.0
75 percentile
336.0
316.0
344.0
344.0
Max size
783.0
656.0
805.0
805.0
Mean
327.3290796687274
312.4155108419613
291.49345870809486
328.91258536585366
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
6927043
6833572
Estimated Fragment Length
170
150
Cross-correlation at Estimated Fragment Length
0.685711943934062
0.675026234671933
Phantom Peak
55
55
Cross-correlation at Phantom Peak
0.6723523
0.6682276
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6490589
0.6530976
NSC (Normalized Strand Cross-correlation coeff.)
1.056471
1.033576
RSC (Relative Strand Cross-correlation coeff.)
1.573535
1.449347
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
0.3550016246506134
0.3713718321395771
Synthetic AUC
0.4981984787023762
0.4981734885248857
X-intercept
0.01916215962610031
0.019220057378669272
Synthetic X-intercept
0.0
0.0
Elbow Point
0.7057316778569047
0.658844480647177
Synthetic Elbow Point
0.5015080061009015
0.50172041146985
JS Distance
0.15848412273761095
0.1221611463414908
Synthetic JS Distance
0.23119122920471707
0.20611435823072574
% Genome Enriched
28.78796046182442
34.56655546305225
Diff. Enrichment
14.558298892506084
12.029716338745033
CHANCE Divergence
0.1258942295951572
0.10269150459364829
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
0.3204539766199469
0.32319532932981465
0.3356977246387367
0.34329497735034664
0.34031145510657895
0.3490585022937144
0.418654532048805
0.31329697524525235
0.3234361273752188
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
0.21856133792520324
0.212963999688858
0.19175203709668884
0.21891877049977973
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
0.10614826829732156
0.11841229093949071
0.07680365792064879
0.11260462635334383
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