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.
Package details |
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Author | James Ware [aut, cre], Jason Homsy [ctb], Kaitlin Samocha [ctb] |
Maintainer | James Ware <j.ware@imperial.ac.uk> |
License | GPL-3 |
Version | 0.2.0 |
URL | http://denovolyzeR.org |
Package repository | View on CRAN |
Installation |
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