biMM
Computational Tool
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General Information
DescriptionEfficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements
Homepagehttp://www.iki.fi/mpirinen
Publications
biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements
Matti Pirinen; Christian Benner; Pekka Marttinen; Marjo-Riitta Järvelin; Manuel A. Rivas; Samuli Ripatti
Summary: Genetic research utilizes a decomposition of trait variances and covariances into genetic and environmental parts. Our software package biMM is a computationally efficient implementation of a bivariate linear mixed model for settings where hundreds of traits have been measured on partially overlapping sets of individuals.
Availability and Implementation: Implementation in R freely available at www.iki.fi/mpirinen.
Contact: matti.pirinen@helsinki.fi
Supplementary information: Supplementary data are available at Bioinformatics online.
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