Open chromatin assays show distinct fragment length enrichments, as the cut
sites are only in open chromatin and not in nucleosomes. As such, peaks
representing different n-nucleosomal (ex mono-nucleosomal, di-nucleosomal)
fragment lengths will arise. Good libraries will show these peaks in a
fragment length distribution and will show specific peak ratios.
NFR: Nucleosome free region
Sequence quality metrics (filtered/deduped BAM)
Open chromatin assays are known to have significant GC bias. Please take this
into consideration as necessary.
Annotated genomic region enrichment
rep1
rep2
Fraction of Reads in universal DHS regions
0.560704141540136
0.5914717926993179
Fraction of Reads in blacklist regions
0.0024718158460242923
0.0024847395603080093
Fraction of Reads in promoter regions
0.19034670734721382
0.21680033675060448
Fraction of Reads in enhancer regions
0.37059047759906005
0.3755125855441818
Signal to noise can be assessed by considering whether reads are falling into
known open regions (such as DHS regions) or not. A high fraction of reads
should fall into the universal (across cell type) DHS set. A small fraction
should fall into the blacklist regions. A high set (though not all) should
fall into the promoter regions. A high set (though not all) should fall into
the enhancer regions. The promoter regions should not take up all reads, as
it is known that there is a bias for promoters in open chromatin assays.
Library complexity quality metrics
Library complexity (filtered non-mito BAM)
rep1
rep2
Total Fragments
47659434
38087846
Distinct Fragments
42516761
34167116
Positions with Two Read
3590660
2706676
NRF = Distinct/Total
0.892095
0.897061
PBC1 = OneRead/Distinct
0.903993
0.909989
PBC2 = OneRead/TwoRead
10.704123
11.487045
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.
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
163679
95020
N1
142199
77659
N2
138186
74036
Np
167073
98522
N optimal
167073
98522
N conservative
163679
95020
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0207357083071134
1.0368553988633973
Self Consistency Ratio
1.0290405685091109
1.0489356529256038
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
187082
182600
Top 300000 raw peaks from macs2 with p-val threshold 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
150.0
150.0
150.0
150.0
25 percentile
236.0
236.0
561.0
351.0
50 percentile (median)
399.0
407.0
814.0
579.0
75 percentile
744.0
751.0
1079.0
910.0
Max size
3110.0
2566.0
2566.0
2566.0
Mean
525.6645535112945
529.9569112814896
843.0074501126652
665.5672430614163
Enrichment / Signal-to-noise ratio
TSS enrichment (filtered/deduped BAM)
rep1
rep2
TSS enrichment
25.351738670331297
27.616144704299405
Open chromatin assays should show enrichment in open chromatin sites, such as
TSS's. An average TSS enrichment in human (hg19) is above 6. A strong TSS enrichment is
above 10. For other references please see https://www.encodeproject.org/atac-seq/
Jensen-Shannon distance (filtered/deduped BAM)
rep1
rep2
AUC
0.19961013421631235
0.17846893524470384
Synthetic AUC
0.49489686404863925
0.49430282870739745
X-intercept
0.1329815419500227
0.14629469293571176
Synthetic X-intercept
0.0
2.3412220941098337e-264
Elbow Point
0.7641564705153098
0.7877994109260619
Synthetic Elbow Point
0.5006484047201136
0.5034496795955353
Synthetic JS Distance
0.43504543830754916
0.4671286064416142
Peak enrichment
Fraction of reads in peaks (FRiP)
FRiP for macs2 raw peaks
rep1
rep2
rep1-pr1
rep2-pr1
rep1-pr2
rep2-pr2
pooled
pooled-pr1
pooled-pr2
Fraction of Reads in Peaks
0.32194438765035405
0.357786474610329
0.31475220859901554
0.3490887042916896
0.3148583244805943
0.3493181010953651
0.3513326009309994
0.3378508307268732
0.3380268932360271
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
0.3321735882793633
0.3041857457740862
0.33846947717277703
0.33387355661477697
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
0.2883373067186552
0.2577108441476355
0.28655814772404975
0.29203419676142167
For macs2 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