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
5281544
6457528
4030746
Distinct Fragments
5042587
6093366
3930120
Positions with Two Read
168363
245487
79326
NRF = Distinct/Total
0.954756
0.943607
0.975035
PBC1 = OneRead/Distinct
0.963354
0.955079
0.978171
PBC2 = OneRead/TwoRead
28.853103
23.706543
48.462421
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
44843
4891
N1
35119
2346
N2
37089
3525
Np
44500
4666
N optimal
44843
4891
N conservative
44843
4891
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0077078651685394
1.0482211744534933
Self Consistency Ratio
1.0560949913152424
1.5025575447570332
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
56449
58052
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
171.0
161.0
165.0
165.0
25 percentile
684.0
644.0
660.0
660.0
50 percentile (median)
684.0
644.0
660.0
660.0
75 percentile
684.0
644.0
660.0
660.0
Max size
684.0
644.0
660.0
660.0
Mean
683.4885294690782
643.0808413146834
639.08771212431
657.6902526592779
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
5281544
6457528
Estimated Fragment Length
180
190
Cross-correlation at Estimated Fragment Length
0.674156332743035
0.713844313888617
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.670917
0.7082359
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6584768
0.6927452
NSC (Normalized Strand Cross-correlation coeff.)
1.023812
1.030457
RSC (Relative Strand Cross-correlation coeff.)
1.26039
1.362052
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
0.3268335729163544
0.3263850134502474
Synthetic AUC
0.4959135977793011
0.4962821477803533
X-intercept
0.031236408760638573
0.03039649510615631
Synthetic X-intercept
0.0
0.0
Elbow Point
0.6185754585609347
0.6251311741633782
Synthetic Elbow Point
0.4990787577972607
0.49688042081508105
JS Distance
0.13379358579799946
0.13753117066579354
Synthetic JS Distance
0.24344088105612924
0.24640537511442884
% Genome Enriched
33.39783976602121
32.31792228105386
Diff. Enrichment
19.288599820912673
19.212033763870238
CHANCE Divergence
0.16454198923136198
0.1640975916185087
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
0.4505666142664341
0.4508109975636689
0.4405499624985927
0.43958158960122656
0.44156180341405654
0.43918965030743284
0.45239679720924486
0.4501217418591471
0.45062079125145793
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
0.3693398956482775
0.3216963324924586
0.3329933636183627
0.3678085851049621
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
0.10068510438762658
0.059322401763438615
0.08262379625046816
0.09855239990291527
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