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
2749202
575944
8181463
Distinct Fragments
2601854
561321
7806308
Positions with Two Read
129893
13803
308558
NRF = Distinct/Total
0.946403
0.97461
0.954146
PBC1 = OneRead/Distinct
0.947024
0.974701
0.957589
PBC2 = OneRead/TwoRead
18.96959
39.63776
24.226363
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
4923
641
N1
7816
361
N2
1198
103
Np
7487
621
N optimal
7487
641
N conservative
4923
641
Optimal Set
pooled-pr1_vs_pooled-pr2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.520820637822466
1.0322061191626408
Self Consistency Ratio
6.524207011686143
3.504854368932039
Reproducibility Test
borderline
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
25471
16017
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
115.0
106.0
106.0
106.0
25 percentile
444.0
310.0
420.0
420.0
50 percentile (median)
444.0
310.0
420.0
420.0
75 percentile
444.0
310.0
420.0
420.0
Max size
2991.0
337.0
2980.0
2980.0
Mean
444.9197911350163
309.92757694949114
442.58970358814355
421.9340189662081
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
2749202
575944
Estimated Fragment Length
135
100
Cross-correlation at Estimated Fragment Length
0.509219598733225
0.197349451754627
Phantom Peak
30
40
Cross-correlation at Phantom Peak
0.5072451
0.1930917
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4980191
0.1821793
NSC (Normalized Strand Cross-correlation coeff.)
1.02249
1.08327
RSC (Relative Strand Cross-correlation coeff.)
1.214014
1.390175
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
0.35399353411433604
0.26956989159628464
Synthetic AUC
0.4930880477357505
0.48512032191293075
X-intercept
0.04212345304561944
0.1343999553024468
Synthetic X-intercept
4.245434330590746e-179
7.514044682217039e-38
Elbow Point
0.5504922717132332
0.5570771791054903
Synthetic Elbow Point
0.4983375692932395
0.486308050971797
JS Distance
0.07798115274159108
0.17792299641204182
Synthetic JS Distance
0.19559452190668317
0.2563067663976317
% Genome Enriched
35.873378217126344
35.82089850063654
Diff. Enrichment
11.304997857243343
25.337213060702986
CHANCE Divergence
0.09612568605258891
0.2175545123403183
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
0.20295904964206152
0.1882915101639379
0.24836497231271848
0.13021239094033665
0.24866820671138484
0.12009560269887265
0.1847946720645186
0.22875207290355604
0.23362131074621442
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
0.07203996014260203
0.0859707614992884
0.04259988120187046
0.08988714066397463
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
0.024685336743953807
0.01725807533012931
0.010954456604312338
0.024168167897252867
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