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
9786627
9643607
14611301
Distinct Fragments
9329830
9221122
13826753
Positions with Two Read
377979
348227
655615
NRF = Distinct/Total
0.953324
0.95619
0.946305
PBC1 = OneRead/Distinct
0.957034
0.960046
0.950041
PBC2 = OneRead/TwoRead
23.622923
25.422204
20.036126
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
6037
558
N1
6573
363
N2
6014
332
Np
5769
545
N optimal
6037
558
N conservative
6037
558
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.046455191540995
1.0238532110091743
Self Consistency Ratio
1.092949783837712
1.0933734939759037
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
17332
14689
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
148.0
149.0
149.0
25 percentile
596.0
590.0
596.0
596.0
50 percentile (median)
596.0
590.0
596.0
596.0
75 percentile
596.0
590.0
596.0
596.0
Max size
596.0
590.0
596.0
596.0
Mean
595.3652780983152
588.9592892640752
535.494623655914
590.3187013417261
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
9786627
9643607
Estimated Fragment Length
190
215
Cross-correlation at Estimated Fragment Length
0.789110722934808
0.787508961369391
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7888027
0.787496
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7841416
0.7826433
NSC (Normalized Strand Cross-correlation coeff.)
1.006337
1.006217
RSC (Relative Strand Cross-correlation coeff.)
1.066073
1.002671
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
0.40164072867912537
0.4029438426957944
Synthetic AUC
0.4970382652504127
0.49702077649245874
X-intercept
0.029451800519737656
0.029419865794316418
Synthetic X-intercept
0.0
0.0
Elbow Point
0.4665663384043016
0.45986204198618025
Synthetic Elbow Point
0.5021098027160561
0.498233962504706
JS Distance
0.028489823565357307
0.026629913626135288
Synthetic JS Distance
0.1428081855436424
0.14159092976617538
% Genome Enriched
37.11234237219124
37.32710340064907
Diff. Enrichment
5.682554554237695
5.527971760100526
CHANCE Divergence
0.04838716676846005
0.04706489872436054
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
0.13831894615930312
0.1188891817888612
0.17165861575734845
0.16537811136124336
0.16960660786784265
0.16681399511206024
0.10445440882944806
0.13247638856694485
0.12364797407805245
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
0.053822698090510844
0.057446159945302624
0.0529923197872752
0.051307568933498464
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
0.008683714622147629
0.006464916573228168
0.005912379683273806
0.008483137351503646
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