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
9736732
10548764
8040213
Distinct Fragments
7880478
8378536
6602698
Positions with Two Read
1309071
1502839
1054831
NRF = Distinct/Total
0.809356
0.794267
0.821209
PBC1 = OneRead/Distinct
0.801947
0.784112
0.813233
PBC2 = OneRead/TwoRead
4.827644
4.371533
5.090419
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
82888
1546
N1
68505
619
N2
69055
463
Np
83773
1641
N optimal
83773
1641
N conservative
82888
1546
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0106770581990154
1.0614489003880982
Self Consistency Ratio
1.0080286110502883
1.3369330453563715
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
121345
131687
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
71.0
69.0
74.0
74.0
25 percentile
284.0
276.0
296.0
296.0
50 percentile (median)
284.0
276.0
296.0
296.0
75 percentile
284.0
276.0
296.0
296.0
Max size
370.0
335.0
394.0
394.0
Mean
283.94756273435246
275.9584772984425
290.91285801340644
295.9003497546942
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
9188412
9956719
Estimated Fragment Length
185
155
Cross-correlation at Estimated Fragment Length
0.716558325198201
0.726647403959759
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7160268
0.7264103
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7115567
0.7224403
NSC (Normalized Strand Cross-correlation coeff.)
1.007029
1.005823
RSC (Relative Strand Cross-correlation coeff.)
1.118917
1.059729
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
0.41472197807321565
0.42065748205976466
Synthetic AUC
0.49840130983559083
0.4984485096991143
X-intercept
0.018662274133972246
0.018528501547369472
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5151662174303684
0.5055545572526705
Synthetic Elbow Point
0.5013484704091695
0.49884795595843495
JS Distance
0.04387733319424195
0.035056950482170245
Synthetic JS Distance
0.13081732249289557
0.12491636025947343
% Genome Enriched
44.386542877108916
43.648198063292405
Diff. Enrichment
9.15947831596235
8.11281791694145
CHANCE Divergence
0.0778699857957095
0.06894186523723739
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
0.5189358894932874
0.5403804085279138
0.5343015122344823
0.5150858055138448
0.5342554709619632
0.5456835363160369
0.5152548643266569
0.5313111785914653
0.5263512409263494
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
0.37352021207762326
0.32398502567094706
0.31316758863778915
0.37720937945104166
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
0.013369178186949649
0.007451488469612286
0.005301879041923859
0.014000090112760488
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