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
1640670
925964
2899914
Distinct Fragments
1558677
898260
2827779
Positions with Two Read
72527
25213
55442
NRF = Distinct/Total
0.950025
0.970081
0.975125
PBC1 = OneRead/Distinct
0.950647
0.970638
0.978331
PBC2 = OneRead/TwoRead
20.43035
34.580772
49.899048
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
5444
32
N1
8122
29
N2
4582
27
Np
5159
25
N optimal
5444
32
N conservative
5444
32
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0552432641984881
1.28
Self Consistency Ratio
1.772588389349629
1.0740740740740742
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
26592
29069
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
784.0
249.0
736.0
736.0
25 percentile
784.0
696.0
736.0
736.0
50 percentile (median)
784.0
696.0
736.0
736.0
75 percentile
784.0
696.0
736.0
736.0
Max size
784.0
696.0
736.0
736.0
Mean
784.0
695.9846227940418
736.0
736.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
1640670
925964
Estimated Fragment Length
165
145
Cross-correlation at Estimated Fragment Length
0.385515725224631
0.276215039456034
Phantom Peak
35
35
Cross-correlation at Phantom Peak
0.3858908
0.2762349
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.3769694
0.2661682
NSC (Normalized Strand Cross-correlation coeff.)
1.022671
1.037746
RSC (Relative Strand Cross-correlation coeff.)
0.9579556
0.9980271
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
0.3472415101104979
0.3172165157831182
Synthetic AUC
0.491062487579874
0.48822823708517193
X-intercept
0.0487142253037907
0.07161920643405967
Synthetic X-intercept
1.3883183880472407e-106
5.5546253006046354e-61
Elbow Point
0.5172660033670302
0.549741488674172
Synthetic Elbow Point
0.5100613683692666
0.498301027654863
JS Distance
0.016878424926692816
0.054733943052293885
Synthetic JS Distance
0.19314077411475875
0.2174943427986762
% Genome Enriched
40.0939896116745
42.562014792592535
Diff. Enrichment
10.188471919399266
14.924786702921311
CHANCE Divergence
0.08720526469528837
0.13010910872166864
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
0.2380974799453631
0.26498785885840187
0.26633762386819965
0.23202703030543628
0.27309441860761025
0.2121380539326933
0.10036693139250362
0.24517381526998797
0.2445623932892881
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
0.06282091367732227
0.07809809069804578
0.053640467825423394
0.05838344431377374
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
0.007673485525474398
0.006596128973152966
0.00778973880555868
0.00620051519668854
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