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
6821828
6570646
5915185
Distinct Fragments
5844340
5670036
5277454
Positions with Two Read
758743
710721
532286
NRF = Distinct/Total
0.856712
0.862934
0.892187
PBC1 = OneRead/Distinct
0.852576
0.858925
0.889589
PBC2 = OneRead/TwoRead
6.567105
6.852388
8.820007
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
31349
1977
N1
30316
1347
N2
25706
1608
Np
23646
1972
N optimal
31349
1977
N conservative
31349
1977
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.3257633426372326
1.0025354969574036
Self Consistency Ratio
1.1793355636816307
1.1937639198218264
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
84052
51402
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
62.0
66.0
69.0
69.0
25 percentile
250.0
264.0
270.0
276.0
50 percentile (median)
250.0
264.0
276.0
276.0
75 percentile
250.0
264.0
276.0
276.0
Max size
350.0
378.0
396.0
396.0
Mean
249.63288202541284
263.07982179681727
246.84066767830046
274.14906376598935
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
6418928
6169188
Estimated Fragment Length
150
155
Cross-correlation at Estimated Fragment Length
0.661570689707553
0.655867157553493
Phantom Peak
50
55
Cross-correlation at Phantom Peak
0.658258
0.6506596
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.651195
0.642335
NSC (Normalized Strand Cross-correlation coeff.)
1.015933
1.021067
RSC (Relative Strand Cross-correlation coeff.)
1.469026
1.625559
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
0.40552827480664666
0.4000841208913824
Synthetic AUC
0.4981316101016412
0.49810322088364267
X-intercept
0.019705908180127248
0.019564210845633725
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5372783733944295
0.5577187128293964
Synthetic Elbow Point
0.49845891787867
0.5022492165853698
JS Distance
0.05494756440701281
0.07035728757284344
Synthetic JS Distance
0.14986633029631694
0.15932705492104954
% Genome Enriched
41.87834784899455
39.79619532678199
Diff. Enrichment
9.442579439999632
10.2047978256321
CHANCE Divergence
0.08026079780661323
0.08683480593005777
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
0.37402725769548945
0.26516376251774976
0.37595922668198095
0.3535065731814198
0.3565779939824028
0.35119363757883876
0.5340753206092199
0.2766255559423848
0.2473103663735816
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
0.166906747264475
0.15761196460708982
0.15025804561928932
0.13404963683260693
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
0.02830406553643666
0.020780992172499464
0.02799939141093627
0.028317874018486622
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