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biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype
Matti Pirinen1,2,3, Christian Benner1,3, Pekka Marttinen2,4
1Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Bioinformatics (Oxford, England)
|April 4, 2017
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.