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
967049
2854349
8058252
Distinct Fragments
917001
2589634
7421188
Positions with Two Read
44485
211186
459117
NRF = Distinct/Total
0.948247
0.907259
0.920943
PBC1 = OneRead/Distinct
0.948645
0.909519
0.92858
PBC2 = OneRead/TwoRead
19.555086
11.152832
15.009616
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
15610
702
N1
5631
154
N2
12421
312
Np
15225
754
N optimal
15610
754
N conservative
15610
702
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.025287356321839
1.0740740740740742
Self Consistency Ratio
2.2058248978866986
2.0259740259740258
Reproducibility Test
borderline
borderline
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
26819
42156
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
149.0
138.0
144.0
144.0
25 percentile
596.0
550.0
576.0
576.0
50 percentile (median)
596.0
550.0
576.0
576.0
75 percentile
596.0
550.0
576.0
576.0
Max size
1637.0
1178.0
3113.0
3113.0
Mean
596.0827771356128
549.4562814308758
587.4496021220159
575.8304292120436
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
967049
2854349
Estimated Fragment Length
110
110
Cross-correlation at Estimated Fragment Length
0.286477280158474
0.505186829954109
Phantom Peak
35
25
Cross-correlation at Phantom Peak
0.2842108
0.5008194
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.2683035
0.4885622
NSC (Normalized Strand Cross-correlation coeff.)
1.067736
1.034028
RSC (Relative Strand Cross-correlation coeff.)
1.142481
1.356313
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
0.2757666997717738
0.3163641046962703
Synthetic AUC
0.48834937332239764
0.4930636265880659
X-intercept
0.08573087420791368
0.044694019249493226
Synthetic X-intercept
2.7989950770179493e-62
7.980894771371698e-178
Elbow Point
0.6149861933568499
0.6113070820896713
Synthetic Elbow Point
0.4980373853055393
0.49717161610510696
JS Distance
0.16484347007221617
0.12045429871775162
Synthetic JS Distance
0.2798485079756836
0.2492272428846232
% Genome Enriched
28.963224848765382
26.275917383601218
Diff. Enrichment
23.309849542868
17.012680968505713
CHANCE Divergence
0.19908814003966088
0.1469133644813023
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
0.30615363514918903
0.34309822702207327
0.24379734204200118
0.2911237925648475
0.23835277956568882
0.29182170971029975
0.3921851277372779
0.3016407943587571
0.30572358920633125
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
0.18069134938338513
0.111139309677496
0.14803573203506581
0.17819113843693493
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
0.029058793748736444
0.015199147275352522
0.014033692682546804
0.030347407567229624
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