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Bioinformatics
Article . 2003 . Peer-reviewed
Data sources: Crossref
Bioinformatics
Article . 2004
DBLP
Article . 2003
Data sources: DBLP
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R/qtl: QTL mapping in experimental crosses

Authors: Karl W. Broman; Hao Wu 0003; Saunak Sen; Gary A. Churchill;

R/qtl: QTL mapping in experimental crosses

Abstract

Abstract Summary: R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental populations derived from inbred lines. It is implemented as an add-on package for the freely-available statistical software, R, and includes functions for estimating genetic maps, identifying genotyping errors, and performing single-QTL and two-dimensional, two-QTL genome scans by multiple methods, with the possible inclusion of covariates. Availability: The package is freely available at http://www.biostat.jhsph.edu/~kbroman/qtl. Contact: kbroman@jhsph.edu * To whom correspondence should be addressed. † Present address: Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94143, USA.

Country
United States
Related Organizations
Keywords

Genetic Markers, Genome, Models, Statistical, Genotype, Models, Genetic, Gene Expression Profiling, Quantitative Trait Loci, 610, Chromosome Mapping, 630, Markov Chains, Chromosomes, Human, Pair 1, Humans, Inbreeding, Algorithms, Crosses, Genetic, 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!
3K
Top 0.01%
Top 0.1%
Top 0.1%
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