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
1889376
2828504
9049707
Distinct Fragments
852691
1416264
8314956
Positions with Two Read
254931
427248
560819
NRF = Distinct/Total
0.451308
0.500711
0.918809
PBC1 = OneRead/Distinct
0.365775
0.433756
0.924748
PBC2 = OneRead/TwoRead
1.223441
1.437837
13.710728
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
13933
402
N1
2966
86
N2
5013
274
Np
11985
454
N optimal
13933
454
N conservative
13933
402
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.1625365039632873
1.1293532338308458
Self Consistency Ratio
1.6901550910316925
3.186046511627907
Reproducibility Test
pass
borderline
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
30577
42905
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
132.0
90.0
129.0
129.0
25 percentile
384.0
360.0
516.0
516.0
50 percentile (median)
384.0
360.0
516.0
516.0
75 percentile
384.0
360.0
516.0
516.0
Max size
10696.0
12973.0
13421.0
13421.0
Mean
391.4367661968146
368.500943945927
1165.7973568281939
537.1254575468313
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
1889376
2828504
Estimated Fragment Length
120
110
Cross-correlation at Estimated Fragment Length
0.233311037211535
0.317484478126935
Phantom Peak
35
25
Cross-correlation at Phantom Peak
0.2242821
0.308696
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.2121807
0.2994937
NSC (Normalized Strand Cross-correlation coeff.)
1.099587
1.060071
RSC (Relative Strand Cross-correlation coeff.)
1.746103
1.955041
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
0.2779585087409618
0.3108004149139163
Synthetic AUC
0.48797206478615474
0.49064200103759437
X-intercept
0.09754851685868554
0.055498577317695134
Synthetic X-intercept
2.2423405687529238e-58
4.0798658633719754e-97
Elbow Point
0.6105302434722227
0.5954454212775807
Synthetic Elbow Point
0.49973695940282337
0.5076996545805198
JS Distance
0.16191776663590846
0.12402110584556869
Synthetic JS Distance
0.2706530993823018
0.24565535070855896
% Genome Enriched
36.84807030006026
35.03829070607344
Diff. Enrichment
25.21070091931652
19.356339826263458
CHANCE Divergence
0.21663069098056012
0.16496649686363604
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
0.3101709252397459
0.3221438298026546
0.2135140353619404
0.22932570284874831
0.21590459815558885
0.22848943444561676
0.3815080384931415
0.30904620062003424
0.30921192485663984
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
0.16626002045956806
0.07022048344535266
0.0765025304088098
0.1435145859019867
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
0.027759677297601683
0.023928614117192742
0.021579209252473613
0.028855105824903235
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