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
9922008
10869293
9808469
Distinct Fragments
8580421
9367041
8991959
Positions with Two Read
1056064
1184068
715813
NRF = Distinct/Total
0.864787
0.861789
0.916755
PBC1 = OneRead/Distinct
0.861306
0.857637
0.915036
PBC2 = OneRead/TwoRead
6.998033
6.784675
11.49458
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
62619
2766
N1
39417
1428
N2
44196
1755
Np
63217
2842
N optimal
63217
2842
N conservative
62619
2766
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0095498171481498
1.027476500361533
Self Consistency Ratio
1.121242103660857
1.2289915966386555
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
101571
100937
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
78.0
79.0
85.0
85.0
25 percentile
310.0
316.0
340.0
340.0
50 percentile (median)
310.0
316.0
340.0
340.0
75 percentile
310.0
316.0
340.0
340.0
Max size
682.0
975.0
986.0
986.0
Mean
309.66246271081314
315.61242160951883
318.1446164672766
338.97949918534573
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
9319035
10209563
Estimated Fragment Length
155
150
Cross-correlation at Estimated Fragment Length
0.742129531200228
0.757271306211439
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7413712
0.756775
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7339445
0.7497185
NSC (Normalized Strand Cross-correlation coeff.)
1.011152
1.010074
RSC (Relative Strand Cross-correlation coeff.)
1.102107
1.070332
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
0.3928154030415672
0.39619304835237656
Synthetic AUC
0.4984630858153457
0.49852987634282114
X-intercept
0.019012386101372774
0.018906573178620198
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5514789851542473
0.5622120091677913
Synthetic Elbow Point
0.4989848169274419
0.49985569932858304
JS Distance
0.05744004799771887
0.057737647539479506
Synthetic JS Distance
0.1709022980849854
0.1677953574016936
% Genome Enriched
34.256035329537376
31.921163383138612
Diff. Enrichment
8.540078248234629
8.284697302665943
CHANCE Divergence
0.07314876206439937
0.07159252798653659
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
0.46225316564016944
0.4543216472873076
0.40148720562870444
0.43348489467641926
0.4228758362383044
0.41669628577442186
0.4305028394398252
0.4562763876118805
0.456590457445572
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
0.3197198741213385
0.22696833738733413
0.244685468251231
0.32174370559955945
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
0.03583002355853658
0.025848798269025242
0.02880920863151716
0.0362697873067621
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