Package: denovolyzeR
Title: Statistical Analyses of De Novo Genetic Variants
Version: 0.2.0
Date: 2016-08-01
Authors@R: c(
    person("James","Ware",email="j.ware@imperial.ac.uk",role=c("aut","cre")),
    person("Jason","Homsy",role="ctb"),
    person("Kaitlin","Samocha",role="ctb")
    )
Description: 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.
Depends: R (>= 3.1.0)
Imports: dplyr (>= 0.3), reshape2 (>= 1.4)
License: GPL-3
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: http://denovolyzeR.org
BugReports: http://github.com/jamesware/denovolyzeR/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-01 12:18:10 UTC; jamesware
Author: James Ware [aut, cre],
  Jason Homsy [ctb],
  Kaitlin Samocha [ctb]
Maintainer: James Ware <j.ware@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2016-08-01 14:55:41
Built: R 4.6.0; ; 2026-04-26 12:40:47 UTC; unix
