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
2481668
694040
11657621
Distinct Fragments
1459392
564805
10764232
Positions with Two Read
403393
90723
725038
NRF = Distinct/Total
0.588069
0.813793
0.923364
PBC1 = OneRead/Distinct
0.554861
0.808189
0.926734
PBC2 = OneRead/TwoRead
2.00737
5.031458
13.758694
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
5367
91
N1
3879
56
N2
1071
50
Np
5999
84
N optimal
5999
91
N conservative
5367
91
Optimal Set
pooled-pr1_vs_pooled-pr2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.1177566610769518
1.0833333333333333
Self Consistency Ratio
3.6218487394957983
1.12
Reproducibility Test
borderline
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
39590
18944
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
138.0
504.0
160.0
160.0
25 percentile
404.0
504.0
590.0
590.0
50 percentile (median)
404.0
504.0
590.0
590.0
75 percentile
404.0
504.0
13423.0
590.0
Max size
10680.0
13385.0
13423.0
13423.0
Mean
409.8802475372569
524.3985430743244
4226.538461538462
645.0966827804634
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
2481668
694040
Estimated Fragment Length
105
115
Cross-correlation at Estimated Fragment Length
0.318924301137739
0.17934714366169
Phantom Peak
30
25
Cross-correlation at Phantom Peak
0.3145549
0.1759242
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.3076103
0.1675272
NSC (Normalized Strand Cross-correlation coeff.)
1.03678
1.070555
RSC (Relative Strand Cross-correlation coeff.)
1.629171
1.407636
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
0.3461335445590463
0.2886164354411382
Synthetic AUC
0.49077755857191446
0.48525737898135274
X-intercept
0.04965092312327532
0.1201107787836282
Synthetic X-intercept
5.041479066082109e-100
1.427234499232818e-38
Elbow Point
0.5351122054196206
0.5196406872594422
Synthetic Elbow Point
0.514748449757212
0.4998051773429729
JS Distance
0.08086007644068145
0.15056229207973915
Synthetic JS Distance
0.1958261169856868
0.23617619256732306
% Genome Enriched
39.43760612475782
33.77894923769751
Diff. Enrichment
14.331400971121955
23.902122295060906
CHANCE Divergence
0.12217337465944297
0.2040349012236338
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
0.26624015448145866
0.20980428022681544
0.21593535832822142
0.15194425558496777
0.19211613200265415
0.15330059257776504
0.1834269172546966
0.24020785394593774
0.2448792623375714
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
0.06786815875762178
0.045575280258317696
0.039970526417510206
0.07079554356721776
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
0.01823634304476224
0.013664730006141072
0.02652277300164624
0.0180316206187091
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