Research Output per year
Motivation: Polyploid species carry more than two copies of each chromosome, a condition found in many of the world's most important crops. Genetic mapping in polyploids is more complex than in diploid species, resulting in a lack of available software tools. These are needed if we are to realize all the opportunities offered by modern genotyping platforms for genetic research and breeding in polyploid crops.
Results: polymapR is an R package for genetic linkage analysis and integrated genetic map construction from bi-parental populations of outcrossing autopolyploids. It can currently analyse triploid, tetraploid and hexaploid marker datasets and is applicable to various crops including potato, leek, alfalfa, blueberry, chrysanthemum, sweet potato or kiwifruit. It can detect, estimate and correct for preferential chromosome pairing, and has been tested on high-density marker datasets from potato, rose and chrysanthemum, generating high-density integrated linkage maps in all of these crops.
Availability and implementation: polymapR is freely available under the general public license from the Comprehensive R Archive Network (CRAN) at http://cran.r-project.org/package=polymapR.
Supplementary information: Supplementary data are available at Bioinformatics online.
Corrigendum: PolymapR - Linkage analysis and genetic map construction from F 1 populations of outcrossing polyploidsBourke, P. M., Van Geest, G., Voorrips, R. E., Jansen, J., Kranenburg, T., Shahin, A., Visser, R. G. F., Arens, P., Smulders, M. J. M. & Maliepaard, C., 15 Oct 2018, In : Bioinformatics. 35, 3, p. 540-540
Research output: Contribution to journal › Comment/Letter to the editor › Academic
Projects per year
KV 1605-020 Novel genetic and genomic tools polyploid crops (BO-68-001-001, BO-50-002-022, BO-26.03-009-004)
1/01/17 → 31/12/20