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
2750014
1573354
6788581
Distinct Fragments
2364603
990217
6443702
Positions with Two Read
272720
253341
267232
NRF = Distinct/Total
0.859851
0.629367
0.949197
PBC1 = OneRead/Distinct
0.864526
0.611994
0.955556
PBC2 = OneRead/TwoRead
7.495824
2.392061
23.041092
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
5689
1030
N1
7404
903
N2
3380
1344
Np
6182
1277
N optimal
6182
1277
N conservative
5689
1030
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0866584637018808
1.2398058252427184
Self Consistency Ratio
2.1905325443786983
1.4883720930232558
Reproducibility Test
borderline
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
27770
29818
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
104.0
106.0
106.0
106.0
25 percentile
416.0
424.0
313.0
424.0
50 percentile (median)
416.0
424.0
424.0
424.0
75 percentile
416.0
424.0
424.0
424.0
Max size
512.0
13360.0
3919.0
3919.0
Mean
413.0024126755492
432.517304983567
435.48159749412685
425.9978971206729
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
2750014
1573354
Estimated Fragment Length
195
210
Cross-correlation at Estimated Fragment Length
0.47546675784435
0.355948423230606
Phantom Peak
35
35
Cross-correlation at Phantom Peak
0.4591074
0.2831563
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4392794
0.2019826
NSC (Normalized Strand Cross-correlation coeff.)
1.082379
1.762272
RSC (Relative Strand Cross-correlation coeff.)
1.825064
1.896746
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
0.3399102204352953
0.2660716745337208
Synthetic AUC
0.49274457117711185
0.4888461641889385
X-intercept
0.04357724031428446
0.07453082788975303
Synthetic X-intercept
2.058611267377933e-162
4.864272297875667e-68
Elbow Point
0.538748847769961
0.6929022629598446
Synthetic Elbow Point
0.5088559491740202
0.518621681138943
JS Distance
0.09496381585925288
0.2506514823764001
Synthetic JS Distance
0.22034711258573492
0.3330469879001821
% Genome Enriched
31.77980135753648
27.84745471885587
Diff. Enrichment
10.299161206491103
26.61501946272714
CHANCE Divergence
0.08768770458742697
0.22823877005297116
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
0.2156089294552898
0.36511392359945705
0.2695463964228488
0.27953307855289994
0.2658165619415945
0.2800128314544889
0.17863318600640712
0.2477006753014107
0.2545298549986771
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
0.11437405404003902
0.08733315995671177
0.18312427786011945
0.11815980900631962
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
0.07726428600260633
0.038182565582503505
0.15748020581791036
0.08100672973999415
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