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: 0.1.0
Depends: R (≥ 3.1.0)
Imports: dplyr (≥ 0.3), reshape (≥ 0.8)
Suggests: knitr
Published: 2015-04-09
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://jamesware.github.io/denovolyzeR
NeedsCompilation: no
CRAN checks: denovolyzeR results

Downloads:

Reference manual: denovolyzeR.pdf
Vignettes: denovostats_intro
Package source: denovolyzeR_0.1.0.tar.gz
Windows binaries: r-devel: denovolyzeR_0.1.0.zip, r-release: denovolyzeR_0.1.0.zip, r-oldrel: denovolyzeR_0.1.0.zip
OS X Snow Leopard binaries: r-release: denovolyzeR_0.1.0.tgz, r-oldrel: denovolyzeR_0.1.0.tgz
OS X Mavericks binaries: r-release: denovolyzeR_0.1.0.tgz