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
8859851
8314070
7804999
Distinct Fragments
7914017
7447353
6981451
Positions with Two Read
707866
648752
603233
NRF = Distinct/Total
0.893245
0.895753
0.894485
PBC1 = OneRead/Distinct
0.897149
0.900436
0.899691
PBC2 = OneRead/TwoRead
10.030223
10.336566
10.412472
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
18881
1917
N1
22546
1652
N2
18841
1214
Np
19275
2018
N optimal
19275
2018
N conservative
18881
1917
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0208675387956145
1.0526864893062076
Self Consistency Ratio
1.196645613290165
1.3607907742998353
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
49409
35628
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
84.0
79.0
86.0
86.0
25 percentile
336.0
316.0
344.0
344.0
50 percentile (median)
336.0
316.0
344.0
344.0
75 percentile
336.0
316.0
344.0
344.0
Max size
1370.0
1311.0
1400.0
1400.0
Mean
335.0899633669979
315.34711462894353
320.9846382556987
341.5825680933852
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
8316047
7787980
Estimated Fragment Length
180
180
Cross-correlation at Estimated Fragment Length
0.727037400487315
0.714148735118851
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.723565
0.7116995
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.716204
0.7056318
NSC (Normalized Strand Cross-correlation coeff.)
1.015126
1.01207
RSC (Relative Strand Cross-correlation coeff.)
1.471739
1.403656
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
0.4072556222850872
0.4145046088869995
Synthetic AUC
0.4984017998705972
0.4983511812242824
X-intercept
0.018528757198031955
0.018540733126415906
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5421203381203781
0.5255915609624654
Synthetic Elbow Point
0.49999618540602053
0.5008717122932076
JS Distance
0.06221009797500596
0.049740251859109144
Synthetic JS Distance
0.1470478492447087
0.13565646773606896
% Genome Enriched
39.88203710541811
41.37363898563886
Diff. Enrichment
9.337358715998462
8.336838598509777
CHANCE Divergence
0.07947578407545867
0.07088595612574784
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
0.28965874323665797
0.20644997227112483
0.31855341093488604
0.29901386243654215
0.3131247770671838
0.29752040781510564
0.21756581566602215
0.2412673091907236
0.244530505175283
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
0.12633901127633027
0.1531474345770682
0.12063959939272365
0.12877356547657884
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
0.02835933465196263
0.027845376310593768
0.019586741799190163
0.029226806846845425
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