Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Guide to QTL Mapping with R/qtlData checking

A Guide to QTL Mapping with R/qtl: Data checking [Our ability to map the loci contributing to variation in a trait depends critically on the quality and integrity of the data. Odd mapping results can often be traced to errors in the genotype data, the genetic maps, or the phenotype data. Thus, the first order of business, following data import, should be to identify and correct errors in the data.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Guide to QTL Mapping with R/qtlData checking

Download PDF
27 pages

Loading next page...
 
/lp/springer-journals/a-guide-to-qtl-mapping-with-r-qtl-data-checking-07NcmnYNdl
Publisher
Springer New York
Copyright
© Springer-Verlag New York 2009
ISBN
978-0-387-92124-2
Pages
47 –73
DOI
10.1007/978-0-387-92125-9_3
Publisher site
See Chapter on Publisher Site

Abstract

[Our ability to map the loci contributing to variation in a trait depends critically on the quality and integrity of the data. Odd mapping results can often be traced to errors in the genotype data, the genetic maps, or the phenotype data. Thus, the first order of business, following data import, should be to identify and correct errors in the data.]

Published: Jun 5, 2009

Keywords: Genotype Data; Segregation Distortion; Marker Order; Genotyping Error; Recombination Fraction

There are no references for this article.