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
5065545
2577006
6652840
Distinct Fragments
4570326
2325813
5990394
Positions with Two Read
418848
213778
563411
NRF = Distinct/Total
0.902238
0.902525
0.900427
PBC1 = OneRead/Distinct
0.900417
0.900382
0.898069
PBC2 = OneRead/TwoRead
9.825037
9.795765
9.5486
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
18828
117
N1
27675
91
N2
22998
65
Np
19792
144
N optimal
19792
144
N conservative
18828
117
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.051200339919269
1.2307692307692308
Self Consistency Ratio
1.2033655100443517
1.4
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
66800
65015
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
167.0
96.0
74.0
74.0
25 percentile
284.0
300.0
296.0
296.0
50 percentile (median)
284.0
300.0
296.0
296.0
75 percentile
284.0
300.0
296.0
296.0
Max size
284.0
473.0
360.0
360.0
Mean
283.9959730538922
299.9797123740675
292.5833333333333
295.9751414713015
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4778556
2434151
Estimated Fragment Length
195
170
Cross-correlation at Estimated Fragment Length
0.609445747466413
0.446949655403337
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6093816
0.4480291
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6062814
0.4426593
NSC (Normalized Strand Cross-correlation coeff.)
1.005219
1.009692
RSC (Relative Strand Cross-correlation coeff.)
1.020697
0.7989741
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
0.4151861964900545
0.394805966470649
Synthetic AUC
0.4979011163090943
0.49706890228631123
X-intercept
0.019185403685800847
0.020458709370971027
Synthetic X-intercept
0.0
0.0
Elbow Point
0.4995270008661672
0.5215404204702849
Synthetic Elbow Point
0.50366073380324
0.5041063503461229
JS Distance
0.02305371551491072
0.055429754956766907
Synthetic JS Distance
0.13049465965660728
0.15863326163302327
% Genome Enriched
45.253044557715874
43.99630382111452
Diff. Enrichment
8.49682301202137
11.45444166929877
CHANCE Divergence
0.0722916636123318
0.09751845908934108
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
0.3305308122541235
0.3706511970937085
0.4004857697328223
0.4558360758634729
0.40291414231054473
0.45385971861616903
0.16591001804875374
0.34249904689287075
0.34978247901010007
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
0.10477750827294355
0.1476921050684489
0.14820250398762638
0.11134576755720008
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
0.00500797653288809
0.003743734495582007
0.009579845618106474
0.007524739883496974
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