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
7221301
6489061
6451554
Distinct Fragments
5940147
5404903
5447707
Positions with Two Read
919047
796615
758465
NRF = Distinct/Total
0.822587
0.832925
0.844402
PBC1 = OneRead/Distinct
0.817107
0.827891
0.839691
PBC2 = OneRead/TwoRead
5.281271
5.617107
6.031113
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
38919
900
N1
33542
524
N2
30097
496
Np
31862
866
N optimal
38919
900
N conservative
38919
900
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.2214864101437448
1.0392609699769053
Self Consistency Ratio
1.1144632355384259
1.0564516129032258
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
92919
65776
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
65.0
62.0
68.0
68.0
25 percentile
260.0
244.0
270.0
270.0
50 percentile (median)
260.0
244.0
270.0
270.0
75 percentile
260.0
244.0
270.0
270.0
Max size
260.0
244.0
270.0
270.0
Mean
259.9335765559251
243.93611651666262
258.23777777777775
269.7331894447442
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
6769266
6082354
Estimated Fragment Length
175
155
Cross-correlation at Estimated Fragment Length
0.654857700688804
0.635547094455862
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6549812
0.6355256
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.650563
0.6310258
NSC (Normalized Strand Cross-correlation coeff.)
1.006601
1.007165
RSC (Relative Strand Cross-correlation coeff.)
0.9720497
1.004767
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
0.41100487202054076
0.4084097308413094
Synthetic AUC
0.4981526799003837
0.4980597873135666
X-intercept
0.019453412777913022
0.0196190331759607
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5144289288949727
0.5163804559948598
Synthetic Elbow Point
0.5002110996772946
0.5025057899364496
JS Distance
0.030947387747514373
0.034748024845642045
Synthetic JS Distance
0.13490233654709635
0.13771992048450019
% Genome Enriched
43.5988713867815
42.90605931205677
Diff. Enrichment
8.835443150730116
9.199585545267247
CHANCE Divergence
0.07510723773632944
0.07819384053616214
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
0.40952383822867267
0.3003712121909249
0.3845605656962112
0.3811221024928454
0.38518727390730373
0.38028342428062684
0.5487013946322611
0.3120747944441619
0.30222166928028177
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
0.18527316133158112
0.16655288776544433
0.14827276826384225
0.1559213281757766
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
0.009339267463633623
0.006332603775316224
0.00614671807565956
0.00909447669792688
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