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
5848202
5087568
5276790
Distinct Fragments
5600769
4884681
5053517
Positions with Two Read
208052
173055
185033
NRF = Distinct/Total
0.957691
0.960121
0.957688
PBC1 = OneRead/Distinct
0.960175
0.962152
0.960495
PBC2 = OneRead/TwoRead
25.847966
27.157869
26.232499
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
6202
811
N1
9799
349
N2
9549
377
Np
5123
770
N optimal
6202
811
N conservative
6202
811
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.2106187780597306
1.0532467532467533
Self Consistency Ratio
1.026180751911195
1.0802292263610316
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
18786
25248
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
296.0
304.0
77.0
77.0
25 percentile
296.0
304.0
296.0
296.0
50 percentile (median)
296.0
304.0
296.0
296.0
75 percentile
296.0
304.0
296.0
296.0
Max size
296.0
304.0
296.0
296.0
Mean
296.0
304.0
295.72996300863133
295.96468881006126
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
5848202
5087568
Estimated Fragment Length
100
100
Cross-correlation at Estimated Fragment Length
0.691749195091083
0.661515954232305
Phantom Peak
40
40
Cross-correlation at Phantom Peak
0.6866174
0.6563703
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6802925
0.6502606
NSC (Normalized Strand Cross-correlation coeff.)
1.016841
1.017309
RSC (Relative Strand Cross-correlation coeff.)
1.811375
1.842217
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
0.37759760103211176
0.37666448616622067
Synthetic AUC
0.495273221410036
0.49493842532875076
X-intercept
0.03602363539883738
0.03686946668741347
Synthetic X-intercept
0.0
0.0
Elbow Point
0.484689256745704
0.4913402037176679
Synthetic Elbow Point
0.5045239377389158
0.5052273328279538
JS Distance
0.027352809511515343
0.0282776033692768
Synthetic JS Distance
0.17017070027089648
0.16976662608461218
% Genome Enriched
38.69937480300509
37.565881080908554
Diff. Enrichment
6.478719323996785
6.387404172580019
CHANCE Divergence
0.05506174754765293
0.054268500154786944
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
0.1053844525402034
0.13540449609594332
0.22161342537932588
0.21509873932482904
0.21906314372085142
0.21565286877519396
0.45185354183168447
0.10540212692303369
0.10620290115725455
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
0.04244644373645227
0.06023308865926135
0.05922192046136286
0.03693785392001318
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
0.010255577343594087
0.005351119510059744
0.005793004228150839
0.009915023474402018
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