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
1250633
826826
8011003
Distinct Fragments
937503
634846
7471853
Positions with Two Read
197124
127117
420250
NRF = Distinct/Total
0.749623
0.767811
0.932699
PBC1 = OneRead/Distinct
0.733862
0.753006
0.937055
PBC2 = OneRead/TwoRead
3.490179
3.760654
16.660407
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
5134
136
N1
1769
72
N2
428
31
Np
5589
125
N optimal
5589
136
N conservative
5134
136
Optimal Set
pooled-pr1_vs_pooled-pr2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.088624853915076
1.088
Self Consistency Ratio
4.133177570093458
2.3225806451612905
Reproducibility Test
borderline
borderline
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
31798
20727
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
93.0
80.0
181.0
181.0
25 percentile
350.0
260.0
464.0
464.0
50 percentile (median)
350.0
260.0
464.0
464.0
75 percentile
350.0
260.0
464.0
464.0
Max size
866.0
260.0
3435.0
3435.0
Mean
350.0524875778351
259.99131567520624
708.0294117647059
469.93809268205405
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
1250633
826826
Estimated Fragment Length
160
130
Cross-correlation at Estimated Fragment Length
0.252528460321851
0.189438655443636
Phantom Peak
35
35
Cross-correlation at Phantom Peak
0.2484661
0.1843649
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.2406094
0.1784991
NSC (Normalized Strand Cross-correlation coeff.)
1.049537
1.061286
RSC (Relative Strand Cross-correlation coeff.)
1.517059
1.864995
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
0.3226145268590942
0.30003651137182247
Synthetic AUC
0.4884975469305067
0.48599616242294597
X-intercept
0.06621025977679827
0.10477870384966109
Synthetic X-intercept
6.44859123856096e-64
7.796784122330656e-43
Elbow Point
0.5312963299219213
0.5908999303617002
Synthetic Elbow Point
0.5046980741710794
0.5031150894687142
JS Distance
0.09572556421299568
0.1107901864206639
Synthetic JS Distance
0.21555715944318113
0.22045034204336023
% Genome Enriched
36.18158635648025
39.14211201589908
Diff. Enrichment
18.518608794001086
22.4968935335035
CHANCE Divergence
0.15777700402697287
0.19345651124309635
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
0.24393734360629932
0.17907955005764498
0.1650801935335874
0.09733275169039977
0.15779427270220955
0.09894992677530925
0.2584723141642999
0.229749539312618
0.2276455137779129
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
0.06511739206349007
0.02948988031475515
0.01061758015766678
0.06521097409473517
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
0.015755068817336668
0.009821892697874203
0.005850185398685072
0.015688493681014656
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