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 |
Reference manual: | denovolyzeR.pdf |
Vignettes: |
denovolyzeR_intro |
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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