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Bioinformatics
Article . 2011 . Peer-reviewed
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Bioinformatics
Article
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Bioinformatics
Article . 2011
DBLP
Article . 2011
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3FunMap: full-sib family functional mapping of dynamic traits

Authors: Chunfa Tong; Zhong Wang 0001; Bo Zhang; Jisen Shi; Rongling Wu;

3FunMap: full-sib family functional mapping of dynamic traits

Abstract

Abstract Motivation: Functional mapping that embeds the developmental mechanisms of complex traits shows great power to study the dynamic pattern of genetic effects triggered by individual quantitative trait loci (QTLs). A full-sib family, produced by crossing two heterozygous parents, is characteristic of uncertainties about cross-type at a locus and linkage phase between different loci. Integrating functional mapping into a full-sib family requires a model selection procedure capable of addressing these uncertainties. 3FunMap, written in VC++ 6.0, provides a flexible and extensible platform to perform full-sib functional mapping of dynamic traits. Functions in the package encompass linkage phase determination, marker map construction and the pattern identification of QTL segregation, dynamic tests of QTL effects, permutation tests and numerical simulation. We demonstrate the features of 3FunMap through real data analysis and computer simulation. Availability: http://statgen.psu.edu/software. Contact: rwu@hes.hmc.psu.edu Supplementary information: Supplementary data are available at Bioinformatics online.

Related Organizations
Keywords

Genetic Markers, Populus, Models, Genetic, Siblings, Quantitative Trait Loci, Chromosome Mapping, Computer Simulation, Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Top 10%
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