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
ctl2
Total Fragments
30280428
37174715
38972024
37160721
Distinct Fragments
26627720
34343890
35041982
33226886
Positions with Two Read
2904534
2444971
2939500
3166313
NRF = Distinct/Total
0.879371
0.923851
0.899157
0.89414
PBC1 = OneRead/Distinct
0.87764
0.923398
0.90476
0.89385
PBC2 = OneRead/TwoRead
8.045884
12.970733
10.785707
9.379948
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
94929
27499
N1
83933
21946
N2
67259
14072
Np
98532
29761
N optimal
98532
29761
N conservative
94929
27499
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.037954681920172
1.0822575366376959
Self Consistency Ratio
1.2479073432551777
1.55955088118249
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
299605
299465
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
111.0
100.0
111.0
111.0
25 percentile
444.0
400.0
444.0
444.0
50 percentile (median)
444.0
400.0
444.0
444.0
75 percentile
444.0
400.0
444.0
444.0
Max size
1422.0
1369.0
1422.0
1422.0
Mean
442.57590160377833
399.43178668625717
420.402170625987
436.62252872163356
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
15000000
15000000
Estimated Fragment Length
225
210
Cross-correlation at Estimated Fragment Length
0.248728899064887
0.229513459729301
Phantom Peak
55
55
Cross-correlation at Phantom Peak
0.1872022
0.1929582
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.1387036
0.1622947
NSC (Normalized Strand Cross-correlation coeff.)
1.793241
1.414177
RSC (Relative Strand Cross-correlation coeff.)
2.268628
2.192146
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
0.2536078629793387
0.2832876244897156
Synthetic AUC
0.495214842660931
0.49578043779370823
X-intercept
0.10873902873023172
0.0996921046844073
Synthetic X-intercept
0.0
0.0
Elbow Point
0.6563588379950817
0.6155387168362757
Synthetic Elbow Point
0.4998866984172783
0.5004638855712935
JS Distance
0.21810209741121928
0.17190962171426702
Synthetic JS Distance
0.35029970710339703
0.30244217373989163
% Genome Enriched
28.817002219245456
32.58951956334846
Diff. Enrichment
24.597780584105593
20.559528093285994
CHANCE Divergence
0.21000109692756722
0.17528583040824947
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
0.24592161951954863
0.1807447200093727
0.2631918384738439
0.19493401685305642
0.2630116661691858
0.1943553976893686
0.2007630962986069
0.2097771652416256
0.20987810894812362
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
0.132298936569183
0.159811049225225
0.0964785957377872
0.13441311082053634
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
0.09386920110985425
0.11405520183500538
0.06198790693789441
0.09597179606121735
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