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
4074981
3299239
5131422
Distinct Fragments
3537193
2948432
4707624
Positions with Two Read
428205
293102
369848
NRF = Distinct/Total
0.868027
0.89367
0.917411
PBC1 = OneRead/Distinct
0.864315
0.891307
0.91596
PBC2 = OneRead/TwoRead
7.139685
8.966019
11.658825
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
18809
1026
N1
21185
679
N2
22621
702
Np
18914
1026
N optimal
18914
1026
N conservative
18809
1026
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0055824339411983
1.0
Self Consistency Ratio
1.0677838092990324
1.0338733431516938
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
47084
54513
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
80.0
81.0
81.0
25 percentile
336.0
320.0
324.0
324.0
50 percentile (median)
336.0
320.0
324.0
324.0
75 percentile
336.0
320.0
324.0
324.0
Max size
880.0
929.0
1206.0
1206.0
Mean
335.9778693399032
319.90305064846916
321.01559454191033
323.8352014380882
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
3825905
3095123
Estimated Fragment Length
205
180
Cross-correlation at Estimated Fragment Length
0.541186234180075
0.501744926766615
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.5365806
0.495868
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5280962
0.4863833
NSC (Normalized Strand Cross-correlation coeff.)
1.024787
1.031583
RSC (Relative Strand Cross-correlation coeff.)
1.542833
1.619621
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
0.3901801852610044
0.3801165852887263
Synthetic AUC
0.4976051907729075
0.4973738965619178
X-intercept
0.019521071344487852
0.02007174751896441
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5571745523760879
0.5627092469702835
Synthetic Elbow Point
0.5019166150761888
0.4985237006249109
JS Distance
0.07840289435992302
0.08970314589172249
Synthetic JS Distance
0.1691213817339739
0.18187424168154212
% Genome Enriched
38.73947031336667
39.41604383063116
Diff. Enrichment
11.386902042666946
12.813610880656146
CHANCE Divergence
0.09692753464272874
0.10899750860796818
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
0.2967945780568911
0.33971801172720856
0.392615071776399
0.41887700758835283
0.3861366841960588
0.4187786725924484
0.21814845770606253
0.32734664007734704
0.3036370870123566
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
0.1360019484227131
0.1556182333791189
0.1682172169371386
0.13641278542572438
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
0.02721593528360964
0.022217878679404012
0.02409241191752566
0.027200420407070422
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