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A Guide to QTL Mapping with R/qtlImporting and simulating data

A Guide to QTL Mapping with R/qtl: Importing and simulating data [One of the more frustrating tasks associated with the use of any data analysis software concerns the importation of data. Data can be imported into R/qtl in a variety of formats, but users often have trouble with this step. In this chapter, we describe how to import QTL mapping data into R for use with R/qtl. We further discuss the simulation of QTL mapping data. In an optional section, we describe the internal format that R/qtl uses for QTL mapping data.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Guide to QTL Mapping with R/qtlImporting and simulating data

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Publisher
Springer New York
Copyright
© Springer-Verlag New York 2009
ISBN
978-0-387-92124-2
Pages
21 –46
DOI
10.1007/978-0-387-92125-9_2
Publisher site
See Chapter on Publisher Site

Abstract

[One of the more frustrating tasks associated with the use of any data analysis software concerns the importation of data. Data can be imported into R/qtl in a variety of formats, but users often have trouble with this step. In this chapter, we describe how to import QTL mapping data into R for use with R/qtl. We further discuss the simulation of QTL mapping data. In an optional section, we describe the internal format that R/qtl uses for QTL mapping data.]

Published: Jun 5, 2009

Keywords: Genotype Data; Chromosome Assignment; Internal Data Structure; Crossover Interference; Intermarker Distance

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