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Fedora 9 Update: R-qtl-1.10-2.fc9



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Fedora Update Notification
FEDORA-2009-2827
2009-03-18 18:33:27
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Name        : R-qtl
Product     : Fedora 9
Version     : 1.10
Release     : 2.fc9
URL         : http://cran.r-project.org/web/packages/qtl/
Summary     : Tools for analyzing QTL experiments
Description :
R-qtl is an extensible, interactive environment for mapping
quantitative trait loci (QTLs) in experimental crosses. Our goal is to
make complex QTL mapping methods widely accessible and allow users to
focus on modeling rather than computing.

A key component of computational methods for QTL mapping is the hidden
Markov model (HMM) technology for dealing with missing genotype
data. We have implemented the main HMM algorithms, with allowance for
the presence of genotyping errors, for backcrosses, intercrosses, and
phase-known four-way crosses.

The current version of R-qtl includes facilities for estimating
genetic maps, identifying genotyping errors, and performing single-QTL
genome scans and two-QTL, two-dimensional genome scans, by interval
mapping (with the EM algorithm), Haley-Knott regression, and multiple
imputation. All of this may be done in the presence of covariates
(such as sex, age or treatment). One may also fit higher-order QTL
models by multiple imputation and Haley-Knott regression.

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Update Information:

R-qtl is an extensible, interactive environment for mapping quantitative trait
loci (QTLs) in experimental crosses. Our goal is to make complex QTL mapping
methods widely accessible and allow users to focus on modeling rather than
computing.    A key component of computational methods for QTL mapping is the
hidden Markov model (HMM) technology for dealing with missing genotype data. We
have implemented the main HMM algorithms, with allowance for the presence of
genotyping errors, for backcrosses, intercrosses, and phase-known four-way
crosses.    The current version of R-qtl includes facilities for estimating
genetic maps, identifying genotyping errors, and performing single-QTL genome
scans and two-QTL, two-dimensional genome scans, by interval mapping (with the
EM algorithm), Haley-Knott regression, and multiple imputation. All of this may
be done in the presence of covariates (such as sex, age or treatment). One may
also fit higher-order QTL models by multiple imputation and Haley-Knott
regression.
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References:

  [ 1 ] Bug #470066 - Review Request: R-qtl - Quantitative trait loci (qtl) functionality for R
        https://bugzilla.redhat.com/show_bug.cgi?id=470066
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This update can be installed with the "yum" update program.  Use 
su -c 'yum update R-qtl' at the command line.
For more information, refer to "Managing Software with yum",
available at http://docs.fedoraproject.org/yum/.

All packages are signed with the Fedora Project GPG key.  More details on the
GPG keys used by the Fedora Project can be found at
http://fedoraproject.org/keys
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