Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/112475
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Type: Journal article
Title: R package ASMap: efficient genetic linkage map construction and diagnosis
Author: Taylor, J.
Butler, D.
Citation: Journal of Statistical Software, 2017; 29(6):1-29
Publisher: Foundation for Open Access Statistics
Issue Date: 2017
ISSN: 1548-7660
1548-7660
Statement of
Responsibility: 
Julian Taylor, David Butler
Abstract: Although various forms of linkage map construction software are widely available, there is a distinct lack of packages for use in the R statistical computing environment (R Core Team 2017). This article introduces the ASMap linkage map construction R package which contains functions that use the efficient MSTmap algorithm (Wu, Bhat, Close, and Lonardi 2008) for clustering and optimally ordering large sets of markers. Additional to the construction functions, the package also contains a suite of tools to assist in the rapid diagnosis and repair of a constructed linkage map. The package functions can also be used for post linkage map construction techniques such as fine mapping or combining maps of the same population. To showcase the efficiency and functionality of ASMap, the complete linkage map construction process is demonstrated with a high density barley backcross marker data set.
Keywords: Linkage map construction; genetics; quantitative trait loci; R.
Rights: This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.
DOI: 10.18637/jss.v079.i06
Published version: https://arxiv.org/abs/1705.06916
Appears in Collections:Agriculture, Food and Wine publications
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