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
2003471
727680
5420962
Distinct Fragments
1838868
705084
5264710
Positions with Two Read
133775
19863
125030
NRF = Distinct/Total
0.917841
0.968948
0.971176
PBC1 = OneRead/Distinct
0.920206
0.970096
0.974503
PBC2 = OneRead/TwoRead
12.649127
34.435835
41.033968
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
7179
489
N1
8171
485
N2
3198
118
Np
7464
573
N optimal
7464
573
N conservative
7179
489
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0396991224404513
1.1717791411042944
Self Consistency Ratio
2.555034396497811
4.110169491525424
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
24175
24945
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
119.0
148.0
126.0
126.0
25 percentile
476.0
590.0
504.0
504.0
50 percentile (median)
476.0
590.0
504.0
504.0
75 percentile
476.0
590.0
504.0
504.0
Max size
535.0
590.0
594.0
594.0
Mean
475.47851085832474
589.4228903587893
443.0523560209424
499.20458199356915
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
2003471
727680
Estimated Fragment Length
110
130
Cross-correlation at Estimated Fragment Length
0.420070848054097
0.242671784606604
Phantom Peak
35
35
Cross-correlation at Phantom Peak
0.4160159
0.2414621
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4036966
0.2243409
NSC (Normalized Strand Cross-correlation coeff.)
1.040561
1.08171
RSC (Relative Strand Cross-correlation coeff.)
1.329154
1.070651
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
0.33194932461583604
0.29464287739921297
Synthetic AUC
0.4917735753007951
0.4867159179831506
X-intercept
0.04748500819910867
0.09360150336941474
Synthetic X-intercept
4.9466360584140456e-126
1.0789670983085387e-47
Elbow Point
0.5833296759855887
0.575042790968612
Synthetic Elbow Point
0.5105102255170749
0.4919678604952285
JS Distance
0.11944278689474108
0.15708050993314307
Synthetic JS Distance
0.2218516312714853
0.2402954430673561
% Genome Enriched
36.23367659204347
40.60852946691829
Diff. Enrichment
16.546533006718512
22.970691399547977
CHANCE Divergence
0.14086437572737082
0.19858551463221596
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
0.22206055197455957
0.2620356959762886
0.26381229016560415
0.20855056182922968
0.2656793279687524
0.19158222653021775
0.19460083820222007
0.2373109978875662
0.23507576824855442
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
0.09584374210707179
0.103347166917525
0.060216999711451454
0.09862672292042138
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
0.022866287326131805
0.02375259278659689
0.013322258298572105
0.025206777692721713
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