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
6570628
5937340
5730936
Distinct Fragments
5446297
4965225
4920135
Positions with Two Read
831683
727716
644599
NRF = Distinct/Total
0.828885
0.836271
0.858522
PBC1 = OneRead/Distinct
0.822403
0.83055
0.853058
PBC2 = OneRead/TwoRead
5.385529
5.666863
6.511276
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
20930
3936
N1
19592
2394
N2
19901
4235
Np
21667
4791
N optimal
21667
4791
N conservative
20930
3936
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0352126134734831
1.2172256097560976
Self Consistency Ratio
1.0157717435688036
1.7690058479532165
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
38842
36074
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
99.0
111.0
112.0
112.0
25 percentile
396.0
444.0
412.0
450.0
50 percentile (median)
396.0
444.0
450.0
450.0
75 percentile
396.0
444.0
450.0
450.0
Max size
785.0
1076.0
2304.0
2304.0
Mean
393.7839709592709
436.63877030548315
405.1189730745147
439.2430885678682
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
6257117
5690238
Estimated Fragment Length
180
185
Cross-correlation at Estimated Fragment Length
0.640119670684137
0.626552936903281
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6350859
0.6163577
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6272509
0.5998274
NSC (Normalized Strand Cross-correlation coeff.)
1.020516
1.044555
RSC (Relative Strand Cross-correlation coeff.)
1.64246
1.616757
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
0.38096588994658653
0.35242258892430095
Synthetic AUC
0.4980673846521006
0.4979780909625829
X-intercept
0.018697110011176753
0.01900047900367236
Synthetic X-intercept
0.0
0.0
Elbow Point
0.6173598914258343
0.6795325722497206
Synthetic Elbow Point
0.5026328855577009
0.5010749189978181
JS Distance
0.09893049314480523
0.14891891449935013
Synthetic JS Distance
0.18315654489778338
0.2281634515769088
% Genome Enriched
32.573646814625576
27.304806003512695
Diff. Enrichment
12.659713329647593
17.19441920180419
CHANCE Divergence
0.10911693323484829
0.15048736756877948
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
0.28551441956997703
0.3194429161322036
0.32771512762445476
0.34429755690475405
0.3313535072633466
0.34325279373246514
0.3054465412525918
0.3013511166797085
0.3012331373644489
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
0.20543176987437245
0.17680363774678223
0.22756871581879473
0.2112582792234678
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
0.07433574031170384
0.044269632209441946
0.09290209627322957
0.08533462532633689
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