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
6047192
5810993
5894695
Distinct Fragments
5083680
4863397
4932515
Positions with Two Read
729870
712748
728568
NRF = Distinct/Total
0.840668
0.83693
0.836772
PBC1 = OneRead/Distinct
0.834931
0.830925
0.830094
PBC2 = OneRead/TwoRead
5.815452
5.669774
5.619861
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
78512
1261
N1
50937
599
N2
41896
586
Np
78486
1274
N optimal
78512
1274
N conservative
78512
1261
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0003312692709527
1.0103092783505154
Self Consistency Ratio
1.2157962573992744
1.022184300341297
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
119445
119477
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
88.0
95.0
95.0
25 percentile
344.0
350.0
380.0
380.0
50 percentile (median)
344.0
350.0
380.0
380.0
75 percentile
344.0
350.0
380.0
380.0
Max size
344.0
350.0
380.0
380.0
Mean
343.94218259449957
349.9332340115671
367.99921507064363
379.8064754432443
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
5746749
5554537
Estimated Fragment Length
180
180
Cross-correlation at Estimated Fragment Length
0.627223943304
0.617567991315776
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6274578
0.6180714
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6233103
0.6139897
NSC (Normalized Strand Cross-correlation coeff.)
1.006279
1.005828
RSC (Relative Strand Cross-correlation coeff.)
0.943605
0.8766599
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
0.4068137568455778
0.4062750024416904
Synthetic AUC
0.4980127046951634
0.4979687944159874
X-intercept
0.018397892594144764
0.018397892594144764
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5372847193119
0.5416033047955457
Synthetic Elbow Point
0.4980479327467679
0.49895747481952296
JS Distance
0.05751577512015015
0.05356379698601942
Synthetic JS Distance
0.14455458262798163
0.1466570698968349
% Genome Enriched
46.12784130595302
44.86180127322437
Diff. Enrichment
8.881317156832752
8.72332315185645
CHANCE Divergence
0.07573681272496059
0.0742663958757665
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
0.5597801233472476
0.5613487846586052
0.5165255735225605
0.4694782378567648
0.49629610987160366
0.4665062497455315
0.5617985828100163
0.5617976363961676
0.5600618137752429
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
0.4091188667899595
0.28782308808254575
0.24667674361793088
0.40895130172749417
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
0.015503504122180234
0.008496413752523562
0.008453340662025162
0.015699810278891224
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