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
4693366
5064185
5440253
Distinct Fragments
3978244
4298820
4568556
Positions with Two Read
544448
586610
658926
NRF = Distinct/Total
0.847631
0.848867
0.839769
PBC1 = OneRead/Distinct
0.843252
0.8442
0.834017
PBC2 = OneRead/TwoRead
6.161588
6.186499
5.782522
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
22601
1346
N1
24926
748
N2
22615
790
Np
20870
1338
N optimal
22601
1346
N conservative
22601
1346
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0829420220412074
1.0059790732436473
Self Consistency Ratio
1.1021888127349104
1.0561497326203209
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
52104
47820
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
75.0
80.0
80.0
25 percentile
290.0
300.0
320.0
320.0
50 percentile (median)
290.0
300.0
320.0
320.0
75 percentile
290.0
300.0
320.0
320.0
Max size
332.0
373.0
480.0
480.0
Mean
289.6920581913097
299.57768716018404
298.3922734026746
318.71496836423165
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
4429113
4795117
Estimated Fragment Length
155
165
Cross-correlation at Estimated Fragment Length
0.573104888761086
0.59296732223342
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.5724419
0.5922663
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5662354
0.5858575
NSC (Normalized Strand Cross-correlation coeff.)
1.012132
1.012136
RSC (Relative Strand Cross-correlation coeff.)
1.106819
1.109385
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
0.3830044848709866
0.3856439874827087
Synthetic AUC
0.49775084515519147
0.49783537297475505
X-intercept
0.01962865780048089
0.0195847592062336
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5769053486446309
0.5785774860073231
Synthetic Elbow Point
0.49952671790106273
0.4989431673365456
JS Distance
0.06577955182515466
0.06613208203824762
Synthetic JS Distance
0.18583864549403536
0.18212590603252313
% Genome Enriched
40.242240424619126
39.98683042172581
Diff. Enrichment
11.207225583120822
10.778702375749694
CHANCE Divergence
0.09528591657814788
0.09163638484020534
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
0.2911422532561005
0.2741898690601112
0.3754395986266924
0.3540994697056629
0.37436819317790315
0.3541040781556246
0.527579204244108
0.2614043168578337
0.27424929808533943
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
0.14481729354892672
0.15580450545825775
0.14644075584109512
0.13634953719674928
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
0.019432750186210643
0.01294448627350772
0.014046555483202891
0.01938366399648158
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