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
972844
3958910
10915930
Distinct Fragments
862616
3050292
10032342
Positions with Two Read
86828
526528
668074
NRF = Distinct/Total
0.886695
0.770488
0.919055
PBC1 = OneRead/Distinct
0.887307
0.779126
0.926155
PBC2 = OneRead/TwoRead
8.815186
4.51365
13.907895
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
10556
1677
N1
3048
362
N2
14388
4121
Np
14609
4293
N optimal
14609
4293
N conservative
10556
1677
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.3839522546419099
2.559928443649374
Self Consistency Ratio
4.7204724409448815
11.383977900552486
Reproducibility Test
borderline
fail
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
26226
44917
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
104.0
91.0
92.0
92.0
25 percentile
416.0
364.0
326.0
370.0
50 percentile (median)
416.0
364.0
370.0
370.0
75 percentile
416.0
364.0
370.0
370.0
Max size
1357.0
3428.0
2948.0
2948.0
Mean
415.88629604209564
360.79110359106795
340.54111344048454
361.255185159833
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
972844
3958910
Estimated Fragment Length
120
135
Cross-correlation at Estimated Fragment Length
0.275087072797327
0.561638790979248
Phantom Peak
30
40
Cross-correlation at Phantom Peak
0.2684226
0.5102083
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.2457089
0.4588427
NSC (Normalized Strand Cross-correlation coeff.)
1.119565
1.224034
RSC (Relative Strand Cross-correlation coeff.)
1.293414
2.001262
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
0.2906199686855024
0.2824917609383327
Synthetic AUC
0.4879850735001369
0.49360720447329604
X-intercept
0.0809119356280733
0.04298446580241395
Synthetic X-intercept
1.6803511625160004e-58
1.2819792304279518e-209
Elbow Point
0.6104676224535411
0.7187679609170445
Synthetic Elbow Point
0.4898622269136786
0.5087488666161097
JS Distance
0.15535878872807177
0.21147133580668914
Synthetic JS Distance
0.25896738090018623
0.31327453025591356
% Genome Enriched
36.23934318922026
22.128448496072547
Diff. Enrichment
21.38305168474283
23.92274983153615
CHANCE Divergence
0.18308064964079454
0.20871608784182286
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
0.26672603513742427
0.3828084136195491
0.19834318604315326
0.36026830029766965
0.18810199469121483
0.35921264461463254
0.376423553508256
0.3367919980106673
0.33679132487663077
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
0.17162824427597134
0.07741052609863189
0.2381807925107406
0.223996439498627
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
0.07608516378255567
0.027652183281242658
0.13754468387007207
0.1319483950593476
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