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
8857117
8229145
9148496
Distinct Fragments
7802170
7333126
8045942
Positions with Two Read
861975
742844
908302
NRF = Distinct/Total
0.880893
0.891116
0.879482
PBC1 = OneRead/Distinct
0.877837
0.88884
0.875627
PBC2 = OneRead/TwoRead
7.945741
8.774355
7.756498
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
71760
1313
N1
49238
464
N2
42437
756
Np
71449
1559
N optimal
71760
1559
N conservative
71760
1313
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.004352755112038
1.1873571972581873
Self Consistency Ratio
1.1602610929142023
1.6293103448275863
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
114638
117057
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
72.0
62.0
76.0
76.0
25 percentile
290.0
250.0
304.0
304.0
50 percentile (median)
290.0
250.0
304.0
304.0
75 percentile
290.0
250.0
304.0
304.0
Max size
290.0
426.0
454.0
454.0
Mean
289.88829184040196
249.84497296189036
287.0513149454779
303.6271181716834
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
8407325
7985110
Estimated Fragment Length
150
130
Cross-correlation at Estimated Fragment Length
0.725452528449546
0.718991290602942
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7256016
0.718841
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7205205
0.7131302
NSC (Normalized Strand Cross-correlation coeff.)
1.006845
1.008219
RSC (Relative Strand Cross-correlation coeff.)
0.970668
1.026321
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
0.4119499321661083
0.40751243666546133
Synthetic AUC
0.49838427677661024
0.4983050394216101
X-intercept
0.018517076482274603
0.018758673016063175
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5097886529495742
0.5269240368584464
Synthetic Elbow Point
0.49843588773388525
0.4998537576894954
JS Distance
0.03602538375499047
0.04409787062873255
Synthetic JS Distance
0.13205519251295017
0.14193303202566726
% Genome Enriched
41.38708357043737
40.416504437589225
Diff. Enrichment
8.97402445066698
9.547642006725354
CHANCE Divergence
0.0762987216367227
0.08122490322120339
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
0.4976082117997694
0.47358574922302643
0.4610422197449423
0.4207548824659172
0.4457137311538378
0.4045550052977176
0.4635026423990566
0.4846591423559784
0.48588342686518293
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
0.33608097518084135
0.2488354869068096
0.20452914063347497
0.3351920596485781
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
0.012916073963089261
0.005688166646873966
0.013382369572911968
0.014591250533754015
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