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
9921886
8725576
9964247
Distinct Fragments
7954479
6885346
8180004
Positions with Two Read
1368101
1245244
1308163
NRF = Distinct/Total
0.80171
0.789099
0.820935
PBC1 = OneRead/Distinct
0.793493
0.77976
0.812974
PBC2 = OneRead/TwoRead
4.613567
4.311537
5.083563
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
82832
978
N1
42902
376
N2
39799
366
Np
82503
960
N optimal
82832
978
N conservative
82832
978
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0039877337793777
1.01875
Self Consistency Ratio
1.0779667830850022
1.0273224043715847
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
133622
137317
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
71.0
61.0
66.0
66.0
25 percentile
256.0
244.0
264.0
264.0
50 percentile (median)
256.0
244.0
264.0
264.0
75 percentile
256.0
244.0
264.0
264.0
Max size
256.0
244.0
264.0
264.0
Mean
255.98526440256845
243.98030105522258
258.51431492842534
263.9350854742129
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
9350063
8223374
Estimated Fragment Length
170
145
Cross-correlation at Estimated Fragment Length
0.717100429275102
0.684695582564355
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7172853
0.6848067
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7130284
0.6807794
NSC (Normalized Strand Cross-correlation coeff.)
1.005711
1.005752
RSC (Relative Strand Cross-correlation coeff.)
0.9565799
0.9723989
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
0.41663230808900825
0.41567786776646026
Synthetic AUC
0.4984015087684163
0.4982796707047847
X-intercept
0.018834324228279836
0.0189041992916665
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5056099693747579
0.5067000203635899
Synthetic Elbow Point
0.5014445259454835
0.5017903460830896
JS Distance
0.033025569303678066
0.033033663918259154
Synthetic JS Distance
0.12807825913121457
0.12956378464270618
% Genome Enriched
44.01390314118356
44.383442404979895
Diff. Enrichment
8.331423903680967
8.434428332993587
CHANCE Divergence
0.07081445922108928
0.07170669381889072
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
0.5306913871554838
0.5356793654082321
0.4103926868375153
0.41573625770727013
0.4217599111988654
0.41555988897595597
0.5181352152950639
0.5328876859212365
0.5325104797141526
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
0.3459712088538807
0.19934348808257102
0.18315060818999093
0.3445877228491795
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
0.007954524167093418
0.00381301099327339
0.0037560463078602294
0.00788795166655174
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