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
1735909
1730314
1695987
Distinct Fragments
1204757
1681988
1664086
Positions with Two Read
290253
35192
22510
NRF = Distinct/Total
0.694021
0.972071
0.98119
PBC1 = OneRead/Distinct
0.672684
0.976559
0.984984
PBC2 = OneRead/TwoRead
2.792119
46.674273
72.816437
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
14409
14
N1
6124
31
N2
9989
1
Np
13688
13
N optimal
14409
14
N conservative
14409
14
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0526738749269433
1.0769230769230769
Self Consistency Ratio
1.6311234487263226
31.0
Reproducibility Test
pass
borderline
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
34644
31659
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
484.0
564.0
596.0
596.0
25 percentile
484.0
564.0
596.0
596.0
50 percentile (median)
484.0
564.0
596.0
596.0
75 percentile
484.0
564.0
596.0
596.0
Max size
484.0
564.0
596.0
596.0
Mean
484.0
564.0
596.0
596.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
1735909
1730314
Estimated Fragment Length
120
185
Cross-correlation at Estimated Fragment Length
0.295962640941567
0.404714586249028
Phantom Peak
30
30
Cross-correlation at Phantom Peak
0.290888
0.4026651
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.2820034
0.3961693
NSC (Normalized Strand Cross-correlation coeff.)
1.0495
1.02157
RSC (Relative Strand Cross-correlation coeff.)
1.571175
1.315515
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
0.33893158244313115
0.34361252989142166
Synthetic AUC
0.4897981998235167
0.4913592853172167
X-intercept
0.054509189911541495
0.048449732231009346
Synthetic X-intercept
1.537975508685061e-81
4.082042919489266e-114
Elbow Point
0.5019975466975157
0.5205887925962124
Synthetic Elbow Point
0.5094745847386982
0.49972766219700704
JS Distance
0.029375041110249366
0.02507124390943291
Synthetic JS Distance
0.19509894455583301
0.19579902611136837
% Genome Enriched
40.779073130354135
38.78451826513618
Diff. Enrichment
15.058463819551509
11.601128457085236
CHANCE Divergence
0.12896814992016284
0.09904488310624279
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
0.2530114001676471
0.2414779578700508
0.23315007463847506
0.2734894485042098
0.23037509619442445
0.2790981420385896
0.47141149446273084
0.24850014695966388
0.21959039374151956
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
0.10332443621931092
0.05377615555266858
0.07881158900311146
0.09484365042398742
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
0.0003174329837766849
0.002209366888127425
1.4850385337798745e-05
0.0003378344500542714
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