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
466483
709410
884772
Distinct Fragments
451981
671588
869582
Positions with Two Read
13199
33804
11965
NRF = Distinct/Total
0.968912
0.946685
0.982832
PBC1 = OneRead/Distinct
0.969437
0.946825
0.984666
PBC2 = OneRead/TwoRead
33.196985
18.810673
71.562725
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
2805
66
N1
2152
41
N2
4340
62
Np
2633
55
N optimal
2805
66
N conservative
2805
66
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0653247246486897
1.2
Self Consistency Ratio
2.016728624535316
1.5121951219512195
Reproducibility Test
borderline
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
21033
18845
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
784.0
637.0
209.0
209.0
25 percentile
784.0
730.0
796.0
796.0
50 percentile (median)
784.0
730.0
796.0
796.0
75 percentile
784.0
730.0
796.0
796.0
Max size
784.0
730.0
796.0
796.0
Mean
784.0
729.9950650039798
763.7424242424242
795.2409982174688
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
466483
709410
Estimated Fragment Length
125
140
Cross-correlation at Estimated Fragment Length
0.167258551720029
0.219955673682661
Phantom Peak
30
25
Cross-correlation at Phantom Peak
0.1668482
0.2195624
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.1570546
0.2102202
NSC (Normalized Strand Cross-correlation coeff.)
1.06497
1.046311
RSC (Relative Strand Cross-correlation coeff.)
1.041895
1.042102
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
0.2714832518455613
0.29864809647338564
Synthetic AUC
0.483445427971701
0.48644346345713396
X-intercept
0.16244612552528237
0.0939395329449518
Synthetic X-intercept
1.9160051695585175e-30
9.172439921356966e-46
Elbow Point
0.6128875920677627
0.5825483598824883
Synthetic Elbow Point
0.49715664510453045
0.5103103627930148
JS Distance
0.07307392389395118
0.053122762405015046
Synthetic JS Distance
0.2348271483540488
0.23591472799890353
% Genome Enriched
37.71023759615634
40.05029946329954
Diff. Enrichment
24.526598043752852
20.190547112370638
CHANCE Divergence
0.21232467028158736
0.17451156325655465
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
0.24683834440265837
0.21372559900001167
0.17765196118901022
0.24869452459667526
0.16996176240549232
0.20384107662293666
0.07701934085472832
0.21375612397278818
0.22923653029286833
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
0.05845309840545145
0.04365594061019247
0.06940631534678333
0.055660302386976036
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
0.015278288412516407
0.014213056806602923
0.014520858401186902
0.013160549092690613
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