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
7417198
6638574
7276393
Distinct Fragments
6376871
5674956
6272384
Positions with Two Read
816528
745160
803087
NRF = Distinct/Total
0.859741
0.854846
0.862018
PBC1 = OneRead/Distinct
0.855459
0.850637
0.856806
PBC2 = OneRead/TwoRead
6.680909
6.478246
6.69195
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
64254
1637
N1
34227
1002
N2
35140
806
Np
54637
1632
N optimal
64254
1637
N conservative
64254
1637
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.176016252722514
1.0030637254901962
Self Consistency Ratio
1.0266748473427412
1.2431761786600497
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
135073
96823
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
61.0
58.0
65.0
65.0
25 percentile
244.0
230.0
260.0
260.0
50 percentile (median)
244.0
230.0
260.0
260.0
75 percentile
244.0
230.0
260.0
260.0
Max size
364.0
282.0
434.0
434.0
Mean
243.9174742546623
229.9407682059015
248.1905925473427
259.70159056245524
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
7001094
6263761
Estimated Fragment Length
140
145
Cross-correlation at Estimated Fragment Length
0.681614997717508
0.654779432589648
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6813514
0.6547409
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6760583
0.6496478
NSC (Normalized Strand Cross-correlation coeff.)
1.008219
1.007899
RSC (Relative Strand Cross-correlation coeff.)
1.049804
1.007564
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
0.4069408736286277
0.40535978998716915
Synthetic AUC
0.49821282849000614
0.4980975465636365
X-intercept
0.019465822542272748
0.019769196378674418
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5340078078845263
0.5306367657155631
Synthetic Elbow Point
0.5001105742808679
0.4983593303009034
JS Distance
0.053427233142468535
0.05206580128175339
Synthetic JS Distance
0.1428072384759444
0.14444571199044584
% Genome Enriched
43.01302112439924
43.41279598907854
Diff. Enrichment
9.11452462574765
9.380068303377726
CHANCE Divergence
0.07747532161037864
0.07975321816780181
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
0.5332477762803864
0.40270389551003943
0.3820925924020848
0.401470650537817
0.38095988498039624
0.387182725431999
0.5229692718396328
0.4202373429307025
0.41747170625295604
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
0.283710860893777
0.16904313889795533
0.16666996372304307
0.24834940773933012
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
0.016795464754932647
0.011981260682941367
0.009742976657190984
0.016672729887313147
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