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
3230453
1385704
1991983
Distinct Fragments
2444180
1228908
1937352
Positions with Two Read
478074
121407
43635
NRF = Distinct/Total
0.756606
0.886847
0.972575
PBC1 = OneRead/Distinct
0.749687
0.88847
0.975715
PBC2 = OneRead/TwoRead
3.832819
8.993287
43.32082
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
4914
301
N1
7132
374
N2
6988
180
Np
4930
374
N optimal
4930
374
N conservative
4914
301
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0032560032560032
1.2425249169435215
Self Consistency Ratio
1.0206067544361763
2.077777777777778
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
13026
21712
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
119.0
128.0
115.0
115.0
25 percentile
416.0
510.0
460.0
460.0
50 percentile (median)
416.0
510.0
460.0
460.0
75 percentile
416.0
510.0
460.0
460.0
Max size
416.0
510.0
460.0
460.0
Mean
415.87125748502996
509.8969233603537
448.77807486631013
459.14868154158216
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
3230453
1385704
Estimated Fragment Length
145
155
Cross-correlation at Estimated Fragment Length
0.457761089582627
0.325257521512619
Phantom Peak
35
30
Cross-correlation at Phantom Peak
0.4513709
0.3216993
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4431767
0.3094354
NSC (Normalized Strand Cross-correlation coeff.)
1.032909
1.051132
RSC (Relative Strand Cross-correlation coeff.)
1.779854
1.290142
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
0.33910558236189964
0.31234642462829615
Synthetic AUC
0.4928654713499151
0.4899580927694954
X-intercept
0.04322857969222177
0.05870525696390637
Synthetic X-intercept
5.309763681349406e-168
3.4774756739884394e-84
Elbow Point
0.5760898401268613
0.6004348389799236
Synthetic Elbow Point
0.510695393064506
0.5058289870239072
JS Distance
0.053457696718061526
0.07560286582030408
Synthetic JS Distance
0.21563918031968737
0.2399730964515281
% Genome Enriched
34.273888717125274
36.027805758624474
Diff. Enrichment
11.639766520475769
16.441881329142532
CHANCE Divergence
0.09897234295529435
0.14029946707214047
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
0.13087661671114761
0.2228885316700196
0.22776081398094555
0.25911469613401483
0.23113806565111092
0.2707473040135786
0.10872814904588411
0.16239342953079086
0.16083767985829583
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
0.07006962882410221
0.08306724560863966
0.09662155441544983
0.07545493687816492
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
0.010047168260766709
0.011268595373278815
0.01630506277533393
0.01758153405432029
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