Exploratory Analysis of Genetic and Genomic Data
Released Oct 12, 2017 by Thibaut Jombart, Zhian N. Kamvar, Caitlin Collins, Roman Lustrik, Marie- Pauline Beugin, Brian J. Knaus, Peter Solymos, Vladimir Mikryukov, Klaus Schliep, Tiago Maié, Libor Morkovsky, Ismail Ahmed, Anne Cori, Federico Calboli, RJ Ewing
Toolset for the exploration of genetic and genomic data. Adegenet provides formal (S4) classes for storing and handling various genetic data, including genetic markers with varying ploidy and hierarchical population structure ('genind' class), alleles counts by populations ('genpop'), and genome-wide SNP data ('genlight'). It also implements original multivariate methods (DAPC, sPCA), graphics, statistical tests, simulation tools, distance and similarity measures, and several spatial methods. A range of both empirical and simulated datasets is also provided to illustrate various methods.