indelmiss: Insertion Deletion Analysis While Accounting for Possible Missing Data
Version 1.0.7

Genome-wide gene insertion and deletion rates can be modelled in a maximum likelihood framework with the additional flexibility of modelling potential missing data using the models included within. These models simultaneously estimate insertion and deletion (indel) rates of gene families and proportions of "missing" data for (multiple) taxa of interest. The likelihood framework is utilized for parameter estimation. A phylogenetic tree of the taxa and gene presence/absence patterns (with data ordered by the tips of the tree) are required. For more details, see Utkarsh J. Dang, Alison M. Devault, Tatum D. Mortimer, Caitlin S. Pepperell, Hendrik N. Poinar, G. Brian Golding (2016). Gene insertion deletion analysis while accounting for possible missing data. Genetics (accepted).

Package details

AuthorUtkarsh J. Dang and G. Brian Golding
Date of publication2016-08-22 01:59:09
MaintainerUtkarsh J. Dang <udang@binghamton.edu>
LicenseGPL (>= 2)
Version1.0.7
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("indelmiss")

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indelmiss documentation built on May 29, 2017, 6:09 p.m.