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
10933942
6641300
15725585
Distinct Fragments
9747203
5660508
13901193
Positions with Two Read
975428
753256
1511461
NRF = Distinct/Total
0.891463
0.852319
0.883986
PBC1 = OneRead/Distinct
0.889662
0.848112
0.880545
PBC2 = OneRead/TwoRead
8.890164
6.373326
8.09854
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
59275
1732
N1
45156
1014
N2
31975
1119
Np
64426
1815
N optimal
64426
1815
N conservative
59275
1732
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0869000421762969
1.047921478060046
Self Consistency Ratio
1.4122283033620016
1.1035502958579881
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
111593
99174
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
72.0
66.0
76.0
76.0
25 percentile
290.0
264.0
304.0
304.0
50 percentile (median)
290.0
264.0
304.0
304.0
75 percentile
290.0
264.0
304.0
304.0
Max size
331.0
315.0
509.0
509.0
Mean
289.8180531036893
263.7362917700204
274.03250688705236
303.15572905348773
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
10288235
6255277
Estimated Fragment Length
180
165
Cross-correlation at Estimated Fragment Length
0.770052557810061
0.652885630444643
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.769862
0.6524024
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7652323
0.6474769
NSC (Normalized Strand Cross-correlation coeff.)
1.006299
1.008354
RSC (Relative Strand Cross-correlation coeff.)
1.041158
1.098105
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
0.4181406821430364
0.40435667363845557
Synthetic AUC
0.49856271291055243
0.49811423970584634
X-intercept
0.01878664114358333
0.01941406140725969
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5267452873544844
0.5398571719730969
Synthetic Elbow Point
0.5005742819939301
0.5026075788800729
JS Distance
0.04558942948494388
0.062481564933501016
Synthetic JS Distance
0.12958721060254844
0.14792895251402052
% Genome Enriched
42.82143299591178
42.49753228017312
Diff. Enrichment
7.972236515239595
10.021896010047653
CHANCE Divergence
0.06774805754247143
0.08519035916615367
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
0.48057449868441404
0.4441229414302504
0.43003927703197453
0.4057180251525479
0.4400790390913765
0.40402064262654075
0.44759830192807043
0.4834817517881507
0.479894563784029
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
0.2879220103335419
0.22757344242510452
0.17228435937668185
0.3086031338091732
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
0.016726396205749377
0.010528457761549512
0.01366892939058722
0.017430405539387458
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