How to Install and Uninstall r-cran-qtl Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 07,2024

1. Install "r-cran-qtl" package

In this section, we are going to explain the necessary steps to install r-cran-qtl on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-qtl
            
                    
    
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2. Uninstall "r-cran-qtl" package

Please follow the step by step instructions below to uninstall r-cran-qtl on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-qtl
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-qtl package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-qtl
Architecture: amd64
Version: 1.46-2-1build1
Priority: optional
Section: universe/math
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 10282
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Recommends: r-cran-testthat, ruby
Filename: pool/universe/r/r-cran-qtl/r-cran-qtl_1.46-2-1build1_amd64.deb
Size: 5509168
MD5sum: 0c47825ab53a71044c5332def4cb67b4
SHA1: a3ec276be94a21df0b1be81bfa96eec467b93bd5
SHA256: 3efa2e500648e5715b33ae26c136c40ec7bcf8ec78d3f10c728eb6623bbc97ef
SHA512: d23990b9eb7ec882d164c080e799c5716c6732a60ce023b18aee48cc2c1e8ae19379ad39f9576451a3c711c766bf95f230b0d0fb0b2a8cb97f72f97922836633
Homepage: https://cran.r-project.org/package=qtl
Description-en: 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.
Description-md5: 7fa92b08b16db901b46842e20fcc105d