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Paketbeschreibung


Paketnamer-cran-qtl
BeschreibungGNU R package for genetic marker linkage analysis
Archiv/RepositoryOffizielles Ubuntu Archiv lucid (universe)
Version1.14-2-1
Sektionuniverse/math
Prioritätoptional
Installierte Größe2508 Byte
Hängt ab vonlibblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.1.3), libgfortran3 (>= 4.3), liblapack3g
Empfohlene Pakete
PaketbetreuerUbuntu Developers
Quelleqtl
Paketgröße1687588 Byte
Prüfsumme MD594edb828fcfc3963be332ae5a70289a4
Prüfsumme SHA13e393817ce2c7aeed7785016cff586c4e929cc50
Prüfsumme SHA2564863ae2e7fed71a1e0ef8a19dbaa9346ac1d49b4aeb283d754cb170e064464fb
Link zum Herunterladenr-cran-qtl_1.14-2-1_i386.deb
Ausführliche BeschreibungR/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental crosses. It is implemented as an add-on-package for the freely available and widely used statistical language/software R (see http://www.r-project.org). . The development of this software as an add-on to R allows to take advantage of the basic mathematical and statistical functions, and powerful graphics capabilities, that are provided with R. Further, the user will benefit by the seamless integration of the QTL mapping software into a general statistical analysis program. The 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.


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