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 Config/pak/sysreqs: libicu-dev Repository: https://jamesware.r-universe.dev Date/Publication: 2016-08-30 19:57:27 UTC RemoteUrl: https://github.com/jamesware/denovolyzer RemoteRef: HEAD RemoteSha: badc99f8d69e81742b94c409f072448f0f2fcfae NeedsCompilation: no Packaged: 2026-10-08 13:04:22 UTC; root Author: James Ware [aut, cre], Jason Homsy [ctb], Kaitlin Samocha [ctb] Maintainer: James Ware