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
4523634
3112826
6518755
Distinct Fragments
3280329
2178268
6074209
Positions with Two Read
706447
504149
357251
NRF = Distinct/Total
0.725153
0.699772
0.931805
PBC1 = OneRead/Distinct
0.714183
0.683984
0.935959
PBC2 = OneRead/TwoRead
3.316249
2.955279
15.913767
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
15254
303
N1
11583
168
N2
8606
277
Np
7106
309
N optimal
15254
309
N conservative
15254
303
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
2.1466366450886576
1.0198019801980198
Self Consistency Ratio
1.3459214501510575
1.6488095238095237
Reproducibility Test
borderline
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
44052
35106
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
92.0
96.0
112.0
112.0
25 percentile
370.0
384.0
450.0
450.0
50 percentile (median)
370.0
384.0
450.0
450.0
75 percentile
370.0
384.0
450.0
450.0
Max size
370.0
411.0
575.0
488.0
Mean
369.87333151729774
383.79863840938873
420.2330097087379
449.3277173200472
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4523634
3112826
Estimated Fragment Length
100
125
Cross-correlation at Estimated Fragment Length
0.522172651044362
0.423313861141987
Phantom Peak
30
35
Cross-correlation at Phantom Peak
0.5176983
0.415812
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5115435
0.4077758
NSC (Normalized Strand Cross-correlation coeff.)
1.020779
1.038104
RSC (Relative Strand Cross-correlation coeff.)
1.726969
1.9335
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
0.3761445841478706
0.3598936498731901
Synthetic AUC
0.4938317625865667
0.49243960390564895
X-intercept
0.03921470835843644
0.043481903819528954
Synthetic X-intercept
2.702506993076099e-225
1.856023468186713e-149
Elbow Point
0.4857640454369536
0.5061264877330599
Synthetic Elbow Point
0.5055290149056264
0.5073518494803828
JS Distance
0.036620909515157805
0.05479932019194265
Synthetic JS Distance
0.16807911311113777
0.1854557419855911
% Genome Enriched
37.31312317212817
36.25580031360595
Diff. Enrichment
9.301480404206753
11.342272790595443
CHANCE Divergence
0.0790850493052707
0.09645895466771613
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
0.24016774986159878
0.22293681487733324
0.24579381758527635
0.26060372525281233
0.25563691274638456
0.25140059212024596
0.4288618729966592
0.14082793434470522
0.1765351304443458
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
0.0994953456579989
0.07589816703700053
0.07063535839883471
0.052148768516677484
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
0.010001500343403842
0.007328211856244739
0.012946475542484381
0.010618935353407346
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