How to Install and Uninstall r-cran-qtl Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 13,2024

1. Install "r-cran-qtl" package

Learn how to install r-cran-qtl on Ubuntu 21.10 (Impish Indri)


    
        
            $
        

        
            
                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 instructions below to uninstall r-cran-qtl on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-qtl
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-qtl package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-qtl
Architecture: amd64
Version: 1.47-9-1
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: 10288
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3, ruby
Recommends: r-cran-testthat
Filename: pool/universe/r/r-cran-qtl/r-cran-qtl_1.47-9-1_amd64.deb
Size: 5520592
MD5sum: da984ed7c6b9d226e38d69a05e335e91
SHA1: 2d338fbca48566735c4db1cb76ca07eaeb273dc1
SHA256: f7b69e894f0a7b79c87f96be99fa408bd749e6faee0844e21466588942bb449b
SHA512: c3432df750f40cc23e3d3fba604743b0c348f0887bb28c9c711c4c992b9fc0092c626543c2f3c3d6793865b06b6c0ad89995a8cd798ae6c6f83d46d035c4a73c
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