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
5857247
8511602
17822241
Distinct Fragments
5356715
7693539
16590257
Positions with Two Read
318782
461004
981865
NRF = Distinct/Total
0.914545
0.903888
0.930874
PBC1 = OneRead/Distinct
0.928574
0.925195
0.935739
PBC2 = OneRead/TwoRead
15.603466
15.440269
15.810884
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
15588
4362
N1
12354
3229
N2
12123
3408
Np
15694
4430
N optimal
15694
4430
N conservative
15588
4362
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0068001026430589
1.0155891792755616
Self Consistency Ratio
1.0190546894333086
1.0554351192319604
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
28114
26262
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
115.0
118.0
116.0
116.0
25 percentile
460.0
470.0
253.0
464.0
50 percentile (median)
460.0
470.0
464.0
464.0
75 percentile
460.0
470.0
464.0
464.0
Max size
1535.0
1296.0
1672.0
1672.0
Mean
451.0725972824927
460.57882111034957
380.0356659142212
439.56677711227223
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
5857247
8511602
Estimated Fragment Length
160
150
Cross-correlation at Estimated Fragment Length
0.689344743344853
0.75211064587815
Phantom Peak
55
55
Cross-correlation at Phantom Peak
0.6643474
0.7319277
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6257296
0.6984178
NSC (Normalized Strand Cross-correlation coeff.)
1.101666
1.076878
RSC (Relative Strand Cross-correlation coeff.)
1.647301
1.602297
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
0.3185485232254704
0.3334479835550617
Synthetic AUC
0.4960864136717772
0.4967319853277775
X-intercept
0.031899731723675384
0.030522420235699912
Synthetic X-intercept
0.0
0.0
Elbow Point
0.6842663121586663
0.6696089233815592
Synthetic Elbow Point
0.503419490631376
0.5024576234071134
JS Distance
0.1497458788074826
0.12463474612190138
Synthetic JS Distance
0.2669049897938502
0.24622574552572507
% Genome Enriched
23.61270799399572
23.061384178084378
Diff. Enrichment
15.614258877712095
12.98950661169126
CHANCE Divergence
0.1356415223059055
0.11363227467522605
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
0.296001604893958
0.26790332039993936
0.29336137302601434
0.2650897951778984
0.2901554191817647
0.26501371138337215
0.30317393781184826
0.2805176624477328
0.2799679783068185
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
0.20008625463366048
0.19179190620087735
0.1734113556126282
0.20165993475328403
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
0.10249986871965147
0.094720781793469
0.08489399767409432
0.10378281836479647
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