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
3420433
2069408
2949074
Distinct Fragments
3153923
2001028
2891942
Positions with Two Read
220819
56149
45769
NRF = Distinct/Total
0.922083
0.966957
0.980627
PBC1 = OneRead/Distinct
0.923987
0.969754
0.982833
PBC2 = OneRead/TwoRead
13.197157
34.559921
62.10092
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
29672
65
N1
15259
38
N2
10377
7
Np
20022
78
N optimal
29672
78
N conservative
29672
65
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.481969833183498
1.2
Self Consistency Ratio
1.4704635251035945
5.428571428571429
Reproducibility Test
pass
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
81786
40126
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
524.0
510.0
540.0
540.0
25 percentile
524.0
510.0
540.0
540.0
50 percentile (median)
524.0
510.0
540.0
540.0
75 percentile
524.0
510.0
540.0
540.0
Max size
524.0
510.0
540.0
540.0
Mean
524.0
510.0
540.0
540.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
3420433
2069408
Estimated Fragment Length
100
100
Cross-correlation at Estimated Fragment Length
0.547240581851246
0.445629429475348
Phantom Peak
30
40
Cross-correlation at Phantom Peak
0.5457479
0.4445436
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5409539
0.4385093
NSC (Normalized Strand Cross-correlation coeff.)
1.011621
1.016237
RSC (Relative Strand Cross-correlation coeff.)
1.311368
1.179942
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
0.3795714161331907
0.3635881746751063
Synthetic AUC
0.4937076441214846
0.49209805972331017
X-intercept
0.03953803805800455
0.04479395220808234
Synthetic X-intercept
2.0239567135566692e-216
1.0574241809061518e-136
Elbow Point
0.47247975425858696
0.48282802090397736
Synthetic Elbow Point
0.4962823506020361
0.49560019686396833
JS Distance
0.016536424842553382
0.027489255092280826
Synthetic JS Distance
0.16313471629928675
0.17525459746303615
% Genome Enriched
40.61375513623489
42.144652331750905
Diff. Enrichment
8.720373334940119
10.88319512620255
CHANCE Divergence
0.07417589178004337
0.09303341369536411
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
0.43870204373874944
0.2563725704823809
0.25688386192056767
0.26108731735082574
0.25752598318109526
0.2678211063037101
0.484889396213223
0.2574340075982764
0.2695278986535947
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
0.17212587566562176
0.09499574760404164
0.06974252984281523
0.11673784015034312
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
0.0013813643290474728
0.0009290869566040941
0.000281113547981356
0.0015090323689664297
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