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.html ,denovolyzeR.pdf |
| Vignettes: | denovolyzeR_intro (source,R code) |
| 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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