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
5409307
4627366
4245764
Distinct Fragments
5048824
4304949
4149455
Positions with Two Read
293194
264780
83056
NRF = Distinct/Total
0.933359
0.930324
0.977316
PBC1 = OneRead/Distinct
0.937381
0.93351
0.978846
PBC2 = OneRead/TwoRead
16.14178
15.177563
48.902873
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
11746
68
N1
9863
10
N2
8291
19
Np
9107
51
N optimal
11746
68
N conservative
11746
68
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.2897770945426594
1.3333333333333333
Self Consistency Ratio
1.189603184175612
1.9
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
22429
19302
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
690.0
744.0
684.0
684.0
25 percentile
690.0
744.0
684.0
684.0
50 percentile (median)
690.0
744.0
684.0
684.0
75 percentile
690.0
744.0
684.0
684.0
Max size
690.0
744.0
684.0
684.0
Mean
690.0
744.0
684.0
684.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
5409307
4627366
Estimated Fragment Length
60
60
Cross-correlation at Estimated Fragment Length
0.660718329976117
0.622723372831777
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6610788
0.6229942
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6573457
0.6191872
NSC (Normalized Strand Cross-correlation coeff.)
1.005131
1.005711
RSC (Relative Strand Cross-correlation coeff.)
0.9034467
0.9288731
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
0.39322370265395695
0.3927320073762714
Synthetic AUC
0.49592067034072707
0.4955835881579071
X-intercept
0.029739154025996823
0.030421391125332143
Synthetic X-intercept
0.0
0.0
Elbow Point
0.47099095936101115
0.4773944128372286
Synthetic Elbow Point
0.4987233403630418
0.507488643685244
JS Distance
0.01573540724564668
0.013282024090605471
Synthetic JS Distance
0.15241583783705695
0.15189214222445346
% Genome Enriched
40.022980618082876
41.35434038444659
Diff. Enrichment
7.641431917666763
7.93565042209477
CHANCE Divergence
0.06493211699922373
0.06746488005402153
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
0.17916640343673004
0.1657239367660498
0.22949925769157875
0.228743421323493
0.22850582791079663
0.21819543529729596
0.5397176206291019
0.15047187486087024
0.13698827400892732
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
0.07846290393032403
0.07963172815717987
0.07343648120696566
0.06198482710683473
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
0.0010300661954130686
0.00022446932844778571
0.0025322446007655483
0.0008177901197788793
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