BioinformaticsGeneticsPeer-reviewed journal article
polymapR: linkage analysis and genetic map construction from F1 populations of outcrossing polyploids
Peter M. BourkeiD, Geert van GeestiD, Roeland E. VoorripsiD, J. JanseniD, Twan Kranenburg, Arwa Shahin, Richard G. F. VisseriD, Paul F. P. ArensiD, MARINUS J. M. SMULDERSiD, Chris A. MaliepaardiD
Abstract
MotivationPolyploid species carry more than two copies of each chromosome, a condition found in many of the worlds 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 realise all the opportunities offered by modern genotyping platforms for genetic research and breeding in polyploid crops.\n\nResultspolymapR 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.\n\nAvailability and ImplementationpolymapR is freely available under the general public license from the Comprehensive R Archive Network (CRAN) at http://cran.r-project.org/packages=polymapR.\n\nContactChris Maliepaard chris.maliepaard@wur.nl or Roeland E. Voorrips roeland.voorrips@wur.nl
- research focus: genome assembly
- research focus: variant calling
- research focus: benchmarking
- research focus: software / tool
- approach: statistical model
- Citations
- 107
- FWCI
- 7.05
- Field percentile
- top 2%
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