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
1606879
1455982
9073526
Distinct Fragments
1319859
1083172
8553857
Positions with Two Read
208527
227809
447001
NRF = Distinct/Total
0.82138
0.743946
0.942727
PBC1 = OneRead/Distinct
0.814675
0.730208
0.944211
PBC2 = OneRead/TwoRead
5.156435
3.471948
18.068512
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
9591
536
N1
5017
212
N2
3646
209
Np
7860
432
N optimal
9591
536
N conservative
9591
536
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.2202290076335878
1.2407407407407407
Self Consistency Ratio
1.3760285244103128
1.014354066985646
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
33616
35061
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
111.0
98.0
125.0
125.0
25 percentile
444.0
390.0
500.0
500.0
50 percentile (median)
444.0
390.0
500.0
500.0
75 percentile
444.0
390.0
500.0
500.0
Max size
444.0
390.0
2439.0
2439.0
Mean
443.7447346501666
389.79430136048603
516.5652985074627
500.9445313314566
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
1606879
1455982
Estimated Fragment Length
145
105
Cross-correlation at Estimated Fragment Length
0.332799135089133
0.285904233000571
Phantom Peak
35
30
Cross-correlation at Phantom Peak
0.3287878
0.2791711
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.3163177
0.2667336
NSC (Normalized Strand Cross-correlation coeff.)
1.052104
1.071872
RSC (Relative Strand Cross-correlation coeff.)
1.32168
1.54135
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
0.32834412054372025
0.31460452376134024
Synthetic AUC
0.49027979759375845
0.4892742597131915
X-intercept
0.05406036371472697
0.062891839365315
Synthetic X-intercept
6.29010171961885e-90
1.1534407276571949e-73
Elbow Point
0.551372610054234
0.5723179331234212
Synthetic Elbow Point
0.49773728434041264
0.5170036302419044
JS Distance
0.10075072005339716
0.12041203182370212
Synthetic JS Distance
0.21630420199183722
0.23077596653941107
% Genome Enriched
35.35982376955954
39.32800172399344
Diff. Enrichment
16.60819941276483
19.165292821084222
CHANCE Divergence
0.1413859219167582
0.16426222741469168
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
0.265661706537204
0.2765484256384265
0.23161759176540303
0.20745820517840446
0.21817952119259681
0.19273464473715507
0.21288820503846245
0.2477875521795944
0.24978104587842082
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
0.11159065938828222
0.06420495050398405
0.05374364866917091
0.09488163270023055
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
0.02367180902743097
0.010633145937296022
0.012401676733041924
0.021472362252887265
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