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
2530689
3650155
3983588
Distinct Fragments
2423740
3428292
3900408
Positions with Two Read
93346
186463
73014
NRF = Distinct/Total
0.957739
0.939218
0.979119
PBC1 = OneRead/Distinct
0.959168
0.941596
0.980292
PBC2 = OneRead/TwoRead
24.904902
17.312099
52.367217
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
858
16
N1
6538
12
N2
5279
14
Np
845
18
N optimal
858
18
N conservative
858
16
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0153846153846153
1.125
Self Consistency Ratio
1.2384921386626255
1.1666666666666667
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
17978
10402
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
804.0
840.0
800.0
800.0
25 percentile
804.0
840.0
800.0
800.0
50 percentile (median)
804.0
840.0
800.0
800.0
75 percentile
804.0
840.0
800.0
800.0
Max size
804.0
840.0
800.0
800.0
Mean
804.0
840.0
800.0
800.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
2530689
3650155
Estimated Fragment Length
80
210
Cross-correlation at Estimated Fragment Length
0.488826514470885
0.568010970670951
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.490337
0.5689014
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4839314
0.5649886
NSC (Normalized Strand Cross-correlation coeff.)
1.010115
1.005349
RSC (Relative Strand Cross-correlation coeff.)
0.7641962
0.7724345
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
0.3796793974663124
0.3904048505246269
Synthetic AUC
0.4941206201896795
0.49505268925727763
X-intercept
0.03385113797994346
0.03174853326364548
Synthetic X-intercept
3.95949164986433e-248
0.0
Elbow Point
0.4919057697947068
0.47857198428831615
Synthetic Elbow Point
0.5106991797125946
0.5017570853336668
JS Distance
0.030640379499137317
0.013691705826567051
Synthetic JS Distance
0.16269485822702717
0.15189671330266852
% Genome Enriched
42.38823179720836
41.99504072549837
Diff. Enrichment
10.368433830391671
8.608955902705528
CHANCE Divergence
0.08835314060317026
0.07323892446659018
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
0.16677369661497127
0.10608823240063416
0.24535106355076455
0.21743892267805187
0.23869505099326838
0.2202064148564835
0.016911133597598643
0.12267605571587932
0.14596121442024654
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
0.015091223179596889
0.06329137786680775
0.05367893282319711
0.014810217594143667
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
0.003709987285091889
0.0037657876003994875
0.003202668000047593
0.004893642613902403
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