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
10666518
7941965
16474692
Distinct Fragments
8802531
6789942
15531610
Positions with Two Read
1028853
611172
790617
NRF = Distinct/Total
0.825249
0.854945
0.942756
PBC1 = OneRead/Distinct
0.849835
0.88266
0.946123
PBC2 = OneRead/TwoRead
7.270914
9.806092
18.586508
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
28239
8244
N1
24179
6741
N2
24284
7100
Np
28541
8572
N optimal
28541
8572
N conservative
28239
8244
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0106944296894367
1.039786511402232
Self Consistency Ratio
1.0043426113569627
1.0532561934431093
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
41390
37811
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
125.0
124.0
125.0
125.0
25 percentile
500.0
496.0
299.0
500.0
50 percentile (median)
500.0
496.0
500.0
500.0
75 percentile
500.0
496.0
500.0
500.0
Max size
4457.0
2616.0
4569.0
4569.0
Mean
487.9009180961585
480.520298325884
447.8346943537098
482.7087698398795
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
10666518
7941965
Estimated Fragment Length
185
185
Cross-correlation at Estimated Fragment Length
0.784184545364836
0.749157455563582
Phantom Peak
55
55
Cross-correlation at Phantom Peak
0.7503188
0.7011891
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6981166
0.6369546
NSC (Normalized Strand Cross-correlation coeff.)
1.123286
1.176155
RSC (Relative Strand Cross-correlation coeff.)
1.648742
1.746769
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
0.29086790769423965
0.2633893175085626
Synthetic AUC
0.4969449156963931
0.49652313492488315
X-intercept
0.030507046920253335
0.032137788698181034
Synthetic X-intercept
0.0
0.0
Elbow Point
0.7274505537935205
0.7430932995874243
Synthetic Elbow Point
0.5011797655609265
0.4977343506935822
JS Distance
0.19537955066026935
0.23902794480662554
Synthetic JS Distance
0.31052441975057193
0.35027827385768745
% Genome Enriched
20.98706783845876
20.400240319840957
Diff. Enrichment
21.33906020995732
26.16245839574062
CHANCE Divergence
0.18624332480751088
0.22732130031025186
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
0.395951831732075
0.4225900575595154
0.39299088192162335
0.43056388788443256
0.39022317316923893
0.4332298735150025
0.3927118190486111
0.4076009577923701
0.407232953743489
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
0.3430786414223561
0.30731255883387637
0.3501113499902758
0.34491994840033013
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
0.20172823639699697
0.1670672510325285
0.2022994971964635
0.20651777544528752
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