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
8917749
9096946
8896616
Distinct Fragments
7806238
7924983
7795670
Positions with Two Read
898565
937966
897947
NRF = Distinct/Total
0.87536
0.87117
0.876251
PBC1 = OneRead/Distinct
0.872018
0.867748
0.872426
PBC2 = OneRead/TwoRead
7.57561
7.3317
7.574105
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
74171
2162
N1
32923
1197
N2
33540
1016
Np
73912
2157
N optimal
74171
2162
N conservative
74171
2162
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0035041671176534
1.0023180343069078
Self Consistency Ratio
1.018740697992285
1.1781496062992125
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
111985
114652
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
85.0
84.0
94.0
94.0
25 percentile
340.0
336.0
376.0
376.0
50 percentile (median)
340.0
336.0
376.0
376.0
75 percentile
340.0
336.0
376.0
376.0
Max size
340.0
336.0
376.0
376.0
Mean
339.7201410903246
335.78619649024876
350.1392229417206
375.2496258645562
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
8404693
8574856
Estimated Fragment Length
195
175
Cross-correlation at Estimated Fragment Length
0.723506479502891
0.725779034326844
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7235909
0.7260153
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7186938
0.7210718
NSC (Normalized Strand Cross-correlation coeff.)
1.006696
1.006528
RSC (Relative Strand Cross-correlation coeff.)
0.982759
0.9521971
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
0.4167628056603102
0.41766512662549676
Synthetic AUC
0.49839256102759333
0.4984034855434891
X-intercept
0.01838313096184023
0.018291295164246327
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5259915271494567
0.5209365654210272
Synthetic Elbow Point
0.500736099563358
0.5007219868325108
JS Distance
0.03925542773011859
0.037364197102982416
Synthetic JS Distance
0.12858996697213962
0.12638481602850135
% Genome Enriched
40.98611682312026
40.87351814954861
Diff. Enrichment
8.253694662705207
8.17728716824116
CHANCE Divergence
0.07020904602313915
0.06957036981205399
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
0.5122490619421163
0.520731678339429
0.374336806076433
0.38284040659855156
0.38656319529184496
0.3812348927946315
0.5000138033024337
0.5177555402523243
0.5170801326130288
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
0.3790026252868143
0.1934106017921163
0.19487094962564058
0.37757015275190364
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
0.022578625320246116
0.014503589909093055
0.012349467003152004
0.02256263755022534
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