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
4479774
4214531
6987319
Distinct Fragments
4296506
4045414
6654502
Positions with Two Read
160482
148163
287479
NRF = Distinct/Total
0.95909
0.959873
0.952368
PBC1 = OneRead/Distinct
0.960533
0.961254
0.954086
PBC2 = OneRead/TwoRead
25.715868
26.245905
22.084987
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
12837
9
N1
11368
2
N2
10966
6
Np
11678
10
N optimal
12837
10
N conservative
12837
9
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0992464463092995
1.1111111111111112
Self Consistency Ratio
1.0366587634506657
3.0
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
38924
39882
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
464.0
470.0
470.0
470.0
25 percentile
464.0
470.0
470.0
470.0
50 percentile (median)
464.0
470.0
470.0
470.0
75 percentile
464.0
470.0
470.0
470.0
Max size
464.0
470.0
470.0
470.0
Mean
464.0
470.0
470.0
470.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4479774
4214531
Estimated Fragment Length
145
120
Cross-correlation at Estimated Fragment Length
0.630114128888554
0.616447995766792
Phantom Peak
30
30
Cross-correlation at Phantom Peak
0.6295166
0.6164125
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6245128
0.6107239
NSC (Normalized Strand Cross-correlation coeff.)
1.008969
1.009373
RSC (Relative Strand Cross-correlation coeff.)
1.119419
1.006246
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
0.37731590983427044
0.3727565922898832
Synthetic AUC
0.49460203749622084
0.49443805958488346
X-intercept
0.037225393392482695
0.03786982484632405
Synthetic X-intercept
1.1359662899514718e-294
1.90211364706101e-277
Elbow Point
0.47326607038468366
0.4786669247052674
Synthetic Elbow Point
0.5046646824995467
0.5003915250171423
JS Distance
0.017397527751666902
0.021838095760343137
Synthetic JS Distance
0.1659525465977588
0.1716151059951846
% Genome Enriched
39.76880273414509
39.08805966278079
Diff. Enrichment
6.6052853968116
6.970261753728724
CHANCE Divergence
0.0561982077660825
0.05928993246356373
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
0.23444384834315352
0.24374719214838292
0.25599600932397465
0.24039653035935563
0.24946978494793617
0.25389396564917527
0.1602718872648078
0.23292935087621847
0.22572465919517
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
0.0832552392098423
0.0738416858281722
0.07426329378890881
0.07570947932568817
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
0.00016233362001099463
4.370031994212962e-05
0.00012366889320043246
0.0001816077445108251
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