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
31931711
25339407
23718470
Distinct Fragments
24517466
21154341
21415253
Positions with Two Read
4413620
2897661
1860534
NRF = Distinct/Total
0.767809
0.83484
0.902894
PBC1 = OneRead/Distinct
0.769678
0.837866
0.904567
PBC2 = OneRead/TwoRead
4.275526
6.116828
10.41181
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
31921
1550
N1
48279
1222
N2
13124
844
Np
53546
2995
N optimal
53546
2995
N conservative
31921
1550
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.677453713856082
1.9322580645161291
Self Consistency Ratio
3.6786802804023164
1.447867298578199
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
78956
35363
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
108.0
138.0
119.0
119.0
25 percentile
430.0
550.0
476.0
476.0
50 percentile (median)
430.0
550.0
476.0
476.0
75 percentile
430.0
550.0
476.0
476.0
Max size
435.0
1250.0
1234.0
1234.0
Mean
429.8046126956786
548.7071798207165
461.22804674457427
475.0536734770104
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
15000000
15000000
Estimated Fragment Length
150
170
Cross-correlation at Estimated Fragment Length
0.834236535156032
0.83925335690815
Phantom Peak
55
50
Cross-correlation at Phantom Peak
0.832439
0.8385203
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.825214
0.83248
NSC (Normalized Strand Cross-correlation coeff.)
1.010934
1.008136
RSC (Relative Strand Cross-correlation coeff.)
1.248787
1.121357
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
0.38948326818821927
0.4005871268838564
Synthetic AUC
0.49819045552535596
0.4980522880833917
X-intercept
0.02838587536096433
0.02837189610617843
Synthetic X-intercept
0.0
0.0
Elbow Point
0.47708201029671965
0.47861174017757646
Synthetic Elbow Point
0.5029769797229374
0.5012835850869187
JS Distance
0.07451461016932812
0.06238678417325416
Synthetic JS Distance
0.16249396029364588
0.14926900579878724
% Genome Enriched
40.55701339212609
35.298816556230555
Diff. Enrichment
9.377448677512835
7.705023692679247
CHANCE Divergence
0.07970564788064673
0.06600403452909305
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
0.41364946259569474
0.24827116382806738
0.43066900540079256
0.20048953259133384
0.4274879333584735
0.2023887981034746
0.40737027548000876
0.42363660820445403
0.426140299417797
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
0.19539970923774863
0.2811193514481927
0.1050980458852948
0.3078051494587395
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
0.017225122408298994
0.013397470735376822
0.011770702972013684
0.030544590701989966
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