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
8368603
7652125
15130125
Distinct Fragments
7650417
6916464
14355979
Positions with Two Read
569446
576928
670971
NRF = Distinct/Total
0.914181
0.903862
0.948834
PBC1 = OneRead/Distinct
0.918871
0.90829
0.950887
PBC2 = OneRead/TwoRead
12.344893
10.888979
20.345021
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
4942
271
N1
5624
112
N2
5329
110
Np
4860
271
N optimal
4942
271
N conservative
4942
271
Optimal Set
rep1_vs_rep2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.016872427983539
1.0
Self Consistency Ratio
1.055357477950835
1.018181818181818
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
13420
13227
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
157.0
165.0
156.0
154.0
25 percentile
616.0
636.0
616.0
616.0
50 percentile (median)
616.0
636.0
616.0
616.0
75 percentile
616.0
636.0
616.0
616.0
Max size
616.0
795.0
2642.0
2642.0
Mean
615.8924739195231
635.450366674227
647.1439114391144
617.259004451639
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
8368603
7652125
Estimated Fragment Length
200
220
Cross-correlation at Estimated Fragment Length
0.745153304881934
0.72313285760115
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7448061
0.7231296
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7409127
0.7190563
NSC (Normalized Strand Cross-correlation coeff.)
1.005723
1.005669
RSC (Relative Strand Cross-correlation coeff.)
1.089179
1.000809
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
0.39835288134078245
0.39792879013776805
Synthetic AUC
0.49672284403016986
0.4965542589763964
X-intercept
0.02949265527702379
0.029817978604502634
Synthetic X-intercept
0.0
0.0
Elbow Point
0.46424038000958007
0.4703676353185374
Synthetic Elbow Point
0.5059381296653004
0.4998111928631517
JS Distance
0.02256478199747958
0.02769985012639936
Synthetic JS Distance
0.1473860122804476
0.1478130480332974
% Genome Enriched
33.16621427430944
34.2761057001437
Diff. Enrichment
5.849655465284975
6.3044171085873675
CHANCE Divergence
0.05026367237726242
0.05400219299587672
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
0.11232762409713921
0.11387313793734957
0.1629251412960387
0.15875427104842513
0.15264388402338747
0.15102876085441197
0.09782832051220716
0.11169011833260177
0.11070068513994785
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
0.04609100845101778
0.0511879690532394
0.05032881810064667
0.045569751089157146
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
0.006427675592447889
0.0038126699380759323
0.003193148541731519
0.00660814510379293
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