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
2917111
3704784
8630708
Distinct Fragments
2288959
2702277
7967188
Positions with Two Read
408492
581774
475135
NRF = Distinct/Total
0.784666
0.729402
0.923121
PBC1 = OneRead/Distinct
0.780053
0.718819
0.933949
PBC2 = OneRead/TwoRead
4.370979
3.338836
15.660696
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
17622
2634
N1
11180
1014
N2
12836
1800
Np
16298
2659
N optimal
17622
2659
N conservative
17622
2634
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0812369615903792
1.0094912680334092
Self Consistency Ratio
1.1481216457960643
1.7751479289940828
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
32142
41740
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
116.0
101.0
112.0
112.0
25 percentile
464.0
404.0
450.0
450.0
50 percentile (median)
464.0
404.0
450.0
450.0
75 percentile
464.0
404.0
450.0
450.0
Max size
2125.0
511.0
13387.0
13387.0
Mean
464.5305519258291
403.45831336847147
568.6987589319293
467.91050959028485
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
2917111
3704784
Estimated Fragment Length
160
140
Cross-correlation at Estimated Fragment Length
0.447764896279242
0.484642056934105
Phantom Peak
30
30
Cross-correlation at Phantom Peak
0.4399947
0.4716148
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.4298889
0.4584023
NSC (Normalized Strand Cross-correlation coeff.)
1.041583
1.057242
RSC (Relative Strand Cross-correlation coeff.)
1.768891
1.98597
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
0.3292629463480429
0.31960028616021746
Synthetic AUC
0.4926273054945583
0.4932129012530519
X-intercept
0.04410638043174654
0.04281752523841826
Synthetic X-intercept
3.0825327008043035e-157
8.31981243931565e-186
Elbow Point
0.5952376202066957
0.6213658672838275
Synthetic Elbow Point
0.5079295852514037
0.5083121115093312
JS Distance
0.0968831545775852
0.1150597699736938
Synthetic JS Distance
0.2292060000057193
0.2465138447557354
% Genome Enriched
33.784765172977934
30.895016160568215
Diff. Enrichment
14.88708364960255
16.52584618540721
CHANCE Divergence
0.12669287650034317
0.14098305110880788
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
0.27947018433079907
0.3224571755419803
0.2923568782896874
0.30451467285208267
0.2855450863170663
0.30618346129826235
0.3947222624770622
0.28800076017025905
0.2893920027035355
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
0.1846220150042213
0.13998310481512768
0.15716463129031583
0.1769765772492367
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
0.06460235871495419
0.03459700651980852
0.0486330228011378
0.0652490204158633
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