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
6662772
5368649
4924524
Distinct Fragments
5478253
4294838
4322173
Positions with Two Read
766722
661510
439348
NRF = Distinct/Total
0.822218
0.799985
0.877683
PBC1 = OneRead/Distinct
0.826647
0.804335
0.881399
PBC2 = OneRead/TwoRead
5.906416
5.222128
8.670935
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
2630
417
N1
6880
204
N2
11241
303
Np
2329
420
N optimal
2630
420
N conservative
2630
417
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.1292400171747532
1.0071942446043165
Self Consistency Ratio
1.6338662790697673
1.4852941176470589
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
7982
14837
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
80.0
80.0
84.0
84.0
25 percentile
316.0
320.0
330.0
330.0
50 percentile (median)
316.0
320.0
330.0
330.0
75 percentile
316.0
320.0
330.0
330.0
Max size
316.0
320.0
330.0
330.0
Mean
315.8408920070158
319.8647300667251
320.78333333333336
328.5281368821293
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
6279256
5054466
Estimated Fragment Length
175
220
Cross-correlation at Estimated Fragment Length
0.633868796917205
0.578544986856468
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.633411
0.578092
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6293514
0.5744231
NSC (Normalized Strand Cross-correlation coeff.)
1.007178
1.007176
RSC (Relative Strand Cross-correlation coeff.)
1.112774
1.123466
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
0.4107674412246122
0.40786846295373586
Synthetic AUC
0.4980752464124144
0.4978247183685452
X-intercept
0.018768660886781308
0.019131899538567164
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5141543325190401
0.517912455493286
Synthetic Elbow Point
0.5018454865897787
0.5031656519886442
JS Distance
0.0148364523107382
0.01776429702045422
Synthetic JS Distance
0.13312347921757067
0.13745934743450883
% Genome Enriched
43.32898245277897
43.020828343791415
Diff. Enrichment
6.150768368775916
7.117355921136948
CHANCE Divergence
0.0523089702062652
0.06051512670438038
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
0.0550272390372175
0.09756147619871457
0.33350965776446573
0.3708200892672856
0.3448621540207806
0.3592370490311443
0.5844641409010815
0.06770226137364065
0.060964475626218595
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
0.02154986500241859
0.047949036651780345
0.07578210915877898
0.019855119076684843
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
0.005224103121127772
0.00305469399307787
0.005320160464045173
0.00525259609753263
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