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
3332685
3235238
2369857
Distinct Fragments
2874541
2906777
2265409
Positions with Two Read
337176
256753
84210
NRF = Distinct/Total
0.86253
0.898474
0.955926
PBC1 = OneRead/Distinct
0.864665
0.901426
0.959471
PBC2 = OneRead/TwoRead
7.371566
10.205306
25.811602
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
52948
58
N1
17100
20
N2
15096
13
Np
51290
41
N optimal
52948
58
N conservative
52948
58
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.032325989471632
1.4146341463414633
Self Consistency Ratio
1.1327503974562798
1.5384615384615385
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
83782
82557
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
450.0
484.0
516.0
516.0
25 percentile
450.0
484.0
516.0
516.0
50 percentile (median)
450.0
484.0
516.0
516.0
75 percentile
450.0
484.0
516.0
516.0
Max size
450.0
484.0
516.0
516.0
Mean
450.0
484.0
516.0
516.0
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
3332685
3235238
Estimated Fragment Length
130
135
Cross-correlation at Estimated Fragment Length
0.515748101165053
0.525315751970507
Phantom Peak
30
30
Cross-correlation at Phantom Peak
0.5143231
0.5240597
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5078647
0.5182017
NSC (Normalized Strand Cross-correlation coeff.)
1.015523
1.013728
RSC (Relative Strand Cross-correlation coeff.)
1.220645
1.214416
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
0.3709805164199665
0.36924586690846956
Synthetic AUC
0.4934138042303496
0.4934502804041541
X-intercept
0.04073959569566475
0.04089317948359945
Synthetic X-intercept
2.1285238038822432e-197
1.232068766333409e-199
Elbow Point
0.47900389943253785
0.4798176940491269
Synthetic Elbow Point
0.494071652233588
0.5096012913660437
JS Distance
0.025162922162174632
0.02314804199870654
Synthetic JS Distance
0.1748139393738556
0.1774275010709363
% Genome Enriched
37.955341025820026
38.52818860886996
Diff. Enrichment
7.222152654485353
7.3272795516384
CHANCE Divergence
0.06138262208605733
0.06231137725769734
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
0.42095307009548966
0.4300779510707756
0.26847566670125556
0.2598211714752567
0.29555137874952697
0.26370265192319664
0.49711697245221653
0.44268114723342555
0.4379241441453835
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
0.2860810067888846
0.09564321387818266
0.09097232624133848
0.26957936910955194
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
0.001098836660423876
0.000615336935884935
0.00043910316256871244
0.0009574839632613679
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