biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements

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Abstract

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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