How to Install and Uninstall r-cran-qtl Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 13,2024

1. Install "r-cran-qtl" package

This guide let you learn how to install r-cran-qtl on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
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            $
        

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

This guide let you learn how to uninstall r-cran-qtl on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
            $
        

        
            
                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 16.04 LTS (Xenial Xerus)

Package: r-cran-qtl
Priority: optional
Section: universe/math
Installed-Size: 6610
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Version: 1.37-11-1
Depends: libblas3 | libblas.so.3, libc6 (>= 2.14), liblapack3 | liblapack.so.3, r-base-core (>= 3.2.2-1), r-api-3
Suggests: r-cran-snow
Filename: pool/universe/r/r-cran-qtl/r-cran-qtl_1.37-11-1_amd64.deb
Size: 5022684
MD5sum: 994f37c529b630c00ff8ce7c540c28b5
SHA1: 0765ef32cced8dffbe9d15f85b426c96acc089cf
SHA256: 56c37b4ee4f9a10b11445ccd5433525a616c972dec9552e2e31a1ab067b3d457
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
Homepage: http://www.rqtl.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu