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
1570748
1022276
3262233
Distinct Fragments
1473271
963297
3097530
Positions with Two Read
81727
51198
132770
NRF = Distinct/Total
0.937942
0.942306
0.949512
PBC1 = OneRead/Distinct
0.939992
0.943183
0.952399
PBC2 = OneRead/TwoRead
16.944988
17.746103
22.219507
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
4016
85
N1
6167
54
N2
5742
44
Np
3852
75
N optimal
4016
85
N conservative
4016
85
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0425752855659398
1.1333333333333333
Self Consistency Ratio
1.0740160222918844
1.2272727272727273
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
15066
16670
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
195.0
222.0
204.0
204.0
25 percentile
780.0
880.0
769.0
816.0
50 percentile (median)
780.0
880.0
816.0
816.0
75 percentile
780.0
880.0
816.0
816.0
Max size
780.0
880.0
1965.0
1965.0
Mean
779.6054692685517
879.5293341331734
788.2235294117647
815.152390438247
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
1570748
1022276
Estimated Fragment Length
130
140
Cross-correlation at Estimated Fragment Length
0.373581997553414
0.289315375444098
Phantom Peak
30
35
Cross-correlation at Phantom Peak
0.3733647
0.2891502
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.362019
0.2761893
NSC (Normalized Strand Cross-correlation coeff.)
1.03194
1.047526
RSC (Relative Strand Cross-correlation coeff.)
1.019156
1.012746
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
0.3381792548932399
0.3232559323184721
Synthetic AUC
0.4908077997486399
0.4886337935235365
X-intercept
0.04973909713246206
0.06410670687921873
Synthetic X-intercept
1.0660195427365408e-100
1.7485963198530176e-65
Elbow Point
0.5528308360061914
0.5269639523194025
Synthetic Elbow Point
0.5001440719110409
0.5164778546910327
JS Distance
0.06347842802892677
0.08063939097583275
Synthetic JS Distance
0.20795378933035713
0.21601442180773361
% Genome Enriched
39.67458949686438
36.973606523369554
Diff. Enrichment
14.639336392583019
17.51720819376877
CHANCE Divergence
0.12503382062005142
0.14933331000540342
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
0.16811485817587052
0.19328840308615533
0.2415112663022425
0.2600158190465429
0.2403343304781991
0.2639505787317618
0.1062261295932688
0.17562840846001215
0.17342892676860047
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
0.05997185034593673
0.07939071041191409
0.07609482809095755
0.058039254257706306
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
0.008814345187266733
0.006460368871863298
0.006977850230454983
0.008170959360207054
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