Regression_tests.sh

Regression_tests.sh

regression_tests.sh

GNU R package for genetic marker linkage analysis

Maintainer: Debian R Packages Maintainers



Section: gnu-r

Install regression_tests.sh

  • Debian apt-get install r-cran-qtl Click to copy
  • Ubuntu apt-get install r-cran-qtl Click to copy
  • Kali Linux apt-get install r-cran-qtl Click to copy
  • Raspbian apt-get install r-cran-qtl Click to copy

r-cran-qtl

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.

Installation of latest regression_tests.sh command is available for Debian, Ubuntu, Kali and Raspbian. You can copy the command for your OS from above and paste it into your terminal. Once you run the command it will download the 2024 latest package from the repository and install it in your computer/server.