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
4524669
5028415
4834164
Distinct Fragments
4035932
4515118
4236173
Positions with Two Read
406553
430005
488291
NRF = Distinct/Total
0.891984
0.897921
0.876299
PBC1 = OneRead/Distinct
0.889591
0.895977
0.872392
PBC2 = OneRead/TwoRead
8.831141
9.407893
7.568448
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
31428
1044
N1
25646
514
N2
27234
472
Np
26364
1014
N optimal
31428
1044
N conservative
31428
1044
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.1920801092398725
1.029585798816568
Self Consistency Ratio
1.0619199875224206
1.0889830508474576
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
62261
69387
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
75.0
79.0
81.0
81.0
25 percentile
300.0
300.0
310.0
310.0
50 percentile (median)
300.0
300.0
310.0
310.0
75 percentile
300.0
300.0
310.0
310.0
Max size
300.0
300.0
310.0
310.0
Mean
299.92497711247813
299.9459841180625
303.4990421455939
309.784046073565
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4261541
4741017
Estimated Fragment Length
185
195
Cross-correlation at Estimated Fragment Length
0.57734950702958
0.605184267731299
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.5767876
0.6039114
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5724265
0.6003919
NSC (Normalized Strand Cross-correlation coeff.)
1.0086
1.007982
RSC (Relative Strand Cross-correlation coeff.)
1.128832
1.361668
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
0.4036962849296949
0.407832883447046
Synthetic AUC
0.4977628706435461
0.49788684593394783
X-intercept
0.019396611928088274
0.019173134864417265
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5312907795757926
0.5253726280503621
Synthetic Elbow Point
0.5023532308681141
0.5036839325636379
JS Distance
0.040579235960679576
0.0351649502879037
Synthetic JS Distance
0.14373819005367225
0.1387181909621546
% Genome Enriched
42.73559869904424
43.90645888620628
Diff. Enrichment
10.397732894137784
9.758053550100826
CHANCE Divergence
0.08839325276689573
0.08297371917743698
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
0.3309974143126256
0.35577515136532034
0.3833379715941415
0.3789575228377048
0.3841585172794592
0.3843010193096908
0.5534346144958291
0.3133521672530181
0.30149423788265234
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
0.1720478265741523
0.1528815058704388
0.15706891401120135
0.1484314737003128
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
0.012016506961128064
0.007572598855933695
0.006644708064106733
0.011645934936479677
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