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A Guide to QTL Mapping with R/qtlFit and exploration of multiple-QTL models

A Guide to QTL Mapping with R/qtl: Fit and exploration of multiple-QTL models [The majority of efforts for QTL mapping have used a hypothesis testing approach. For example, in single-QTL analyses (Chap. 4), one considers each genomic position, one at a time, and asks the question, “Is there a QTL here?” A primary focus is on the adjustment for the number of tests (i.e., for the scan across the genome), to control the rate of false positive declarations of linkage.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Guide to QTL Mapping with R/qtlFit and exploration of multiple-QTL models

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Publisher
Springer New York
Copyright
© Springer-Verlag New York 2009
ISBN
978-0-387-92124-2
Pages
241 –282
DOI
10.1007/978-0-387-92125-9_9
Publisher site
See Chapter on Publisher Site

Abstract

[The majority of efforts for QTL mapping have used a hypothesis testing approach. For example, in single-QTL analyses (Chap. 4), one considers each genomic position, one at a time, and asks the question, “Is there a QTL here?” A primary focus is on the adjustment for the number of tests (i.e., for the scan across the genome), to control the rate of false positive declarations of linkage.]

Published: Jun 5, 2009

Keywords: Pairwise Interaction; Extraneous Locus; Multiple Interval Mapping; Hyper Data; Marker Genotype Data

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