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
418244
1031181
3330132
Distinct Fragments
387344
971468
3257396
Positions with Two Read
24487
46555
54894
NRF = Distinct/Total
0.92612
0.942093
0.978158
PBC1 = OneRead/Distinct
0.929817
0.946773
0.981608
PBC2 = OneRead/TwoRead
14.708172
19.756417
58.248388
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
3221
297
N1
561
139
N2
2857
205
Np
4820
358
N optimal
4820
358
N conservative
3221
297
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.496429680223533
1.2053872053872055
Self Consistency Ratio
5.092691622103387
1.474820143884892
Reproducibility Test
borderline
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
10724
34736
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
86.0
121.0
119.0
119.0
25 percentile
344.0
396.0
370.0
370.0
50 percentile (median)
344.0
396.0
370.0
370.0
75 percentile
344.0
396.0
370.0
370.0
Max size
375.0
396.0
655.0
655.0
Mean
343.4030212607236
395.69515776140025
345.79050279329607
368.201867219917
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
418244
1031181
Estimated Fragment Length
160
150
Cross-correlation at Estimated Fragment Length
0.194234803525362
0.303805343638548
Phantom Peak
35
35
Cross-correlation at Phantom Peak
0.1612078
0.2894946
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.1223505
0.266867
NSC (Normalized Strand Cross-correlation coeff.)
1.587527
1.138415
RSC (Relative Strand Cross-correlation coeff.)
1.849956
1.632442
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
0.23718798914151176
0.2998745775633454
Synthetic AUC
0.4814795640228501
0.48825207830848383
X-intercept
0.2289552214987872
0.07821675922379676
Synthetic X-intercept
3.361244250429987e-24
3.0867481619757235e-61
Elbow Point
0.5307433295033831
0.5499369654027831
Synthetic Elbow Point
0.5280740960049927
0.5118635690077113
JS Distance
0.15168453746130656
0.09177850306555596
Synthetic JS Distance
0.2616574060657106
0.24154419122606174
% Genome Enriched
29.146320056172602
35.93450785139793
Diff. Enrichment
27.888939571880154
16.97033748389285
CHANCE Divergence
0.23860385313993043
0.1452851735478795
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
0.17868811451558558
0.2853544048405813
0.12291332713925446
0.18472838052011323
0.12294906220965256
0.1921248997882706
0.2905438725944576
0.22776786931181187
0.22930259278148063
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
0.060738778043442104
0.05147126389838988
0.05025381806296579
0.07561663148222374
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
0.02374491926141247
0.036556977017244724
0.015244500951239592
0.025369436650782985
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