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
4895666
7149979
5958514
Distinct Fragments
4067965
5678249
4962521
Positions with Two Read
607770
994447
743321
NRF = Distinct/Total
0.830932
0.794163
0.832845
PBC1 = OneRead/Distinct
0.825535
0.786624
0.826426
PBC2 = OneRead/TwoRead
5.525521
4.491591
5.517342
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
31481
2344
N1
28613
1550
N2
25659
1482
Np
32107
2403
N optimal
32107
2403
N conservative
31481
2344
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0198850100060355
1.0251706484641638
Self Consistency Ratio
1.115125297166686
1.0458839406207827
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
70153
58250
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
60.0
65.0
70.0
70.0
25 percentile
240.0
260.0
280.0
280.0
50 percentile (median)
240.0
260.0
280.0
280.0
75 percentile
240.0
260.0
280.0
280.0
Max size
302.0
464.0
422.0
422.0
Mean
239.71500862400754
259.54650643776824
261.16562630045775
278.56884791478495
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4625969
6750553
Estimated Fragment Length
135
125
Cross-correlation at Estimated Fragment Length
0.571484870438236
0.644744961558646
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.5704048
0.643806
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5639085
0.6376928
NSC (Normalized Strand Cross-correlation coeff.)
1.013435
1.011059
RSC (Relative Strand Cross-correlation coeff.)
1.166256
1.153597
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
0.38260057138506737
0.39122553478335376
Synthetic AUC
0.4977461040375199
0.49809871438348885
X-intercept
0.020266036628925597
0.01966140792682197
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5757202664357238
0.5778314782074255
Synthetic Elbow Point
0.49824858459125426
0.5000254677111614
JS Distance
0.07191693740390086
0.06096173732194127
Synthetic JS Distance
0.18167091464157253
0.17440213542502636
% Genome Enriched
38.26760906264592
37.7621554314814
Diff. Enrichment
12.630439794784765
11.295960311842968
CHANCE Divergence
0.1075496869598705
0.09629429377804502
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
0.3449560662467981
0.3010158735663075
0.3914243003322827
0.3395096619823319
0.39141726044476555
0.3466830228263791
0.474068392369084
0.31146472166924216
0.3378235135737082
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
0.18500745536943372
0.16814285825259312
0.15813539779278538
0.1891127634994175
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
0.03663634890602998
0.02937526581644246
0.030552843977841162
0.03907160775633534
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