deepSNV-package | R Documentation |
Detection of subclonal SNVs in deep sequencing experiments
This packages provides algorithms for detecting subclonal single nucleotide variants (SNVs) and their frequencies from ultra-deep sequencing data. It retrieves the nucleotide counts at each position and each strand from two .bam files and tests for differences between the two experiments with a likelihood ratio test using either a binomial or and overdispersed beta-binomial model. The statistic can be tuned across genomic sites by a shared Dirichlet prior and there package provides procedures for normalizing sequencing data from different runs.
Moritz Gerstung, Wellcome Trust Sanger Institute, moritz.gerstung@sanger.ac.uk
Gerstung M, Beisel C, Rechsteiner M, Wild P, Schraml P, Moch H, and Beerenwinkel N. Reliable detection of subclonal single-nucleotide variants in tumour cell populations. Nat Commun 3:811 (2012). DOI:10.1038/ncomms1814.
deepSNV
## Short example with 2 SNVs at frequency ~10% regions <- data.frame(chr="B.FR.83.HXB2_LAI_IIIB_BRU_K034", start = 3120, stop=3140) ex <- deepSNV(test = system.file("extdata", "test.bam", package="deepSNV"), control = system.file("extdata", "control.bam", package="deepSNV"), regions=regions, q=10) show(ex) # show method plot(ex) # scatter plot summary(ex) # summary with significant SNVs ex[1:3,] # subsetting the first three genomic positions tail(test(ex, total=TRUE)) # retrieve the test counts on both strands tail(control(ex, total=TRUE)) ## Not run: Full example with ~ 100 SNVs. Requires an internet connection, but try yourself. # regions <- data.frame(chr="B.FR.83.HXB2_LAI_IIIB_BRU_K034", start = 2074, stop=3585) # HIVmix <- deepSNV(test = "http://www.bsse.ethz.ch/cbg/software/deepSNV/data/test.bam", control = "http://www.bsse.ethz.ch/cbg/software/deepSNV/data/control.bam", regions=regions, q=10) data(HIVmix) # attach data instead.. show(HIVmix) plot(HIVmix) head(summary(HIVmix))
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