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
6073324
6815728
16613719
Distinct Fragments
5527476
6322811
15655528
Positions with Two Read
401618
357399
810090
NRF = Distinct/Total
0.910124
0.927679
0.942325
PBC1 = OneRead/Distinct
0.917435
0.93614
0.945207
PBC2 = OneRead/TwoRead
12.626678
16.561417
18.266756
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
15027
4195
N1
12446
2979
N2
11084
2542
Np
15113
4157
N optimal
15113
4195
N conservative
15027
4195
Optimal Set
pooled-pr1_vs_pooled-pr2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0057230318759567
1.0091412076016357
Self Consistency Ratio
1.1228798267773368
1.1719118804091266
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
26361
24374
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
119.0
118.0
119.0
119.0
25 percentile
476.0
470.0
294.0
476.0
50 percentile (median)
476.0
470.0
476.0
476.0
75 percentile
476.0
470.0
476.0
476.0
Max size
1443.0
1341.0
1506.0
1506.0
Mean
468.78874094305985
463.5694182325429
406.94231227651966
455.93555217362535
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
6073324
6815728
Estimated Fragment Length
185
180
Cross-correlation at Estimated Fragment Length
0.689699687556801
0.718225441019099
Phantom Peak
55
55
Cross-correlation at Phantom Peak
0.6736833
0.7051991
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6500312
0.6861028
NSC (Normalized Strand Cross-correlation coeff.)
1.061025
1.046819
RSC (Relative Strand Cross-correlation coeff.)
1.67717
1.682141
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
0.34300723382014553
0.35372347565029155
Synthetic AUC
0.49614640579032543
0.49639684905253256
X-intercept
0.031331983660169864
0.030667129868107382
Synthetic X-intercept
0.0
0.0
Elbow Point
0.629983907743051
0.5989314421936581
Synthetic Elbow Point
0.5045595983599984
0.5029034951760165
JS Distance
0.13253885700404344
0.11196709769982728
Synthetic JS Distance
0.22936965612048318
0.21334512968768612
% Genome Enriched
24.194888013065476
24.941001713046706
Diff. Enrichment
14.548711436407713
12.264285320283296
CHANCE Divergence
0.12834724855633542
0.10804916325465662
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
0.26268025516539445
0.23281853318440948
0.2587208357381803
0.2296618510694214
0.261209355679207
0.23434625550883434
0.27273925956831013
0.24868961998389766
0.2516846298734628
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
0.1757013772596957
0.16951389706556907
0.1427206629300934
0.17580534491480213
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
0.08478082034355497
0.07399879510848718
0.05845413390005256
0.08418279569530096
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