toutes les options
bianca  ]
[ Paquet source : r-cran-qtl  ]

Paquet : r-cran-qtl (1.70-1)

Liens pour r-cran-qtl

Screenshot

Télécharger le paquet source r-cran-qtl :

Responsables :

Ressources externes :

Paquets similaires :

GNU R package for genetic marker linkage analysis

R/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 one 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. The main HMM algorithms, with allowance for the presence of genotyping errors, for backcrosses, intercrosses, and phase-known four-way crosses were implemented.

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.

Autres paquets associés à r-cran-qtl

  • dépendances
  • recommandations
  • suggestions
  • enhances

Télécharger r-cran-qtl

Télécharger pour toutes les architectures proposées
Architecture Taille du paquet Espace occupé une fois installé Fichiers
amd64 5 413,7 ko10 334,0 ko [liste des fichiers]
arm64 5 396,8 ko10 307,0 ko [liste des fichiers]