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
5320270
6314797
6800146
Distinct Fragments
4351603
5124246
5584472
Positions with Two Read
699338
847688
892537
NRF = Distinct/Total
0.817929
0.811466
0.821228
PBC1 = OneRead/Distinct
0.810625
0.803677
0.813137
PBC2 = OneRead/TwoRead
5.04408
4.858199
5.087677
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
56418
2330
N1
28244
1230
N2
29869
1257
Np
49252
2244
N optimal
56418
2330
N conservative
56418
2330
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.1454966295784943
1.0383244206773619
Self Consistency Ratio
1.057534343577397
1.0219512195121951
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
91227
116847
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
61.0
61.0
68.0
68.0
25 percentile
244.0
244.0
270.0
270.0
50 percentile (median)
244.0
244.0
270.0
270.0
75 percentile
244.0
244.0
270.0
270.0
Max size
953.0
795.0
1104.0
1104.0
Mean
243.93095245925
243.92611705906015
261.9699570815451
269.6729058102024
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4999182
5941408
Estimated Fragment Length
135
155
Cross-correlation at Estimated Fragment Length
0.58399153631552
0.62236646073088
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.5835678
0.6217428
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5778203
0.616266
NSC (Normalized Strand Cross-correlation coeff.)
1.01068
1.009899
RSC (Relative Strand Cross-correlation coeff.)
1.07372
1.11387
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
0.385445607955655
0.39165704538226886
Synthetic AUC
0.4978395304037185
0.49800733263002317
X-intercept
0.02009707265281359
0.019883528782520535
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5771512050260643
0.5673301827296894
Synthetic Elbow Point
0.5029213152631986
0.5003887417165729
JS Distance
0.07355710093052896
0.06323424339672908
Synthetic JS Distance
0.17955957220722948
0.17060075969239483
% Genome Enriched
38.35327739947472
39.346356183192704
Diff. Enrichment
12.34957497376975
11.486702739003823
CHANCE Divergence
0.10516799487659044
0.09774987753740871
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
0.4202012188142057
0.48756750921865943
0.3804937242696413
0.3784735931875434
0.39181089693559035
0.37466837070440484
0.4636562990320699
0.40567823212646204
0.42780358162211735
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
0.2800331793420904
0.1700375444364059
0.16870983793169533
0.25327088421750926
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
0.0377661183912958
0.029656055318546308
0.02643423176298636
0.03709889232362492
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