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
4183448
3525474
3890558
Distinct Fragments
3998192
3401779
3770051
Positions with Two Read
144528
94960
90754
NRF = Distinct/Total
0.955717
0.964914
0.969026
PBC1 = OneRead/Distinct
0.960978
0.969702
0.973613
PBC2 = OneRead/TwoRead
26.584281
34.737911
40.445292
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
20533
142
N1
12891
12
N2
9714
93
Np
7899
115
N optimal
20533
142
N conservative
20533
142
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
2.599442967464236
1.2347826086956522
Self Consistency Ratio
1.327053736874614
7.75
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
81610
26256
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
381.0
430.0
476.0
476.0
25 percentile
476.0
430.0
476.0
476.0
50 percentile (median)
476.0
430.0
476.0
476.0
75 percentile
476.0
430.0
476.0
476.0
Max size
476.0
430.0
476.0
476.0
Mean
475.9988359269697
430.0
476.0
476.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4183448
3525474
Estimated Fragment Length
125
135
Cross-correlation at Estimated Fragment Length
0.613659714825521
0.577207006536467
Phantom Peak
35
30
Cross-correlation at Phantom Peak
0.6126834
0.5756391
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6069053
0.569139
NSC (Normalized Strand Cross-correlation coeff.)
1.011129
1.014176
RSC (Relative Strand Cross-correlation coeff.)
1.168968
1.241216
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
0.3678723225843348
0.3576698839703109
Synthetic AUC
0.49441010066328844
0.4939416134664195
X-intercept
0.03821709416031311
0.03988677303139475
Synthetic X-intercept
1.1595449103504401e-274
1.3463262402895057e-233
Elbow Point
0.4915458792644636
0.5049751243781094
Synthetic Elbow Point
0.5070749864819492
0.5028042042501304
JS Distance
0.010341501135594287
0.019997843505456126
Synthetic JS Distance
0.17930405563781038
0.1915047933977863
% Genome Enriched
36.89431750629371
36.816718332954316
Diff. Enrichment
5.549297616461857
7.044601416190393
CHANCE Divergence
0.047161289823374114
0.05991022733454199
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
0.4260868503157239
0.17543304035173013
0.23620924990004716
0.24164784614826237
0.24290895313680086
0.24377649289532333
0.49249095427882333
0.1592124577431191
0.135366672536055
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
0.12639387839115263
0.08260294210386075
0.07258575558549538
0.053368745300115476
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
0.002379928635795667
0.00019093240569098213
0.0028944970602809966
0.002060881694971201
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