denovolyzeR: Statistical Analyses of De Novo Genetic Variants

An integrated toolset for the analysis of de novo (sporadic) genetic sequence variants. denovolyzeR implements a mutational model that estimates the probability of a de novo genetic variant arising in each human gene, from which one can infer the expected number of de novo variants in a given population size. Observed variant frequencies can then be compared against expectation in a Poisson framework. denovolyzeR provides a suite of functions to implement these analyses for the interpretation of de novo variation in human disease.

Version:	0.2.0
Depends:	R (≥ 3.1.0)
Imports:	dplyr (≥ 0.3), reshape2 (≥ 1.4)
Suggests:	knitr, rmarkdown
Published:	2016-08-01
DOI:	10.32614/CRAN.package.denovolyzeR
Author:	James Ware [aut, cre], Jason Homsy [ctb], Kaitlin Samocha [ctb]
Maintainer:	James Ware <j.ware at imperial.ac.uk>
BugReports:	http://github.com/jamesware/denovolyzeR/issues
License:	GPL-3
URL:	http://denovolyzeR.org
NeedsCompilation:	no
Citation:	denovolyzeR citation info
Materials:	NEWS
CRAN checks:	denovolyzeR results

Documentation:

Reference manual:	denovolyzeR.pdf
Vignettes:	denovolyzeR_intro

Downloads:

Package source:	denovolyzeR_0.2.0.tar.gz
Windows binaries:	r-devel: denovolyzeR_0.2.0.zip, r-release: denovolyzeR_0.2.0.zip, r-oldrel: denovolyzeR_0.2.0.zip
macOS binaries:	r-release (arm64): denovolyzeR_0.2.0.tgz, r-oldrel (arm64): denovolyzeR_0.2.0.tgz, r-release (x86_64): denovolyzeR_0.2.0.tgz, r-oldrel (x86_64): denovolyzeR_0.2.0.tgz
Old sources:	denovolyzeR archive

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