How To Install genotypes2m.txt.gz on CentOS 8
In this tutorial, we will discuss How To Install genotypes2m.txt.gz on CentOS 8
yum package managers.
Also, we will demonstrate how to uninstall and update
genotypes2m.txt.gz as well.
If you are only interested in the installation command, here is a quick answer for you:
or if you use
sudo yum makecache && sudo yum -y install r-cran-qtl
sudo dnf makecache && sudo dnf -y install r-cran-qtl
But if you are interested in the details with step-by-step instructions, the following information will be helpful.
Short description: GNU R package for genetic marker linkage analysis
First things first, you will need access to a server or computer running CentOS 8. This guide was written specifically with a server running CentOS 8 in mind, although it should also work on older, supported versions of the operating system.
Also, make sure you are running a regular, non-root user with sudo privileges configured on your server. When you have an account available, log in as your non-root user to begin.
There are several ways to install genotypes2m.txt.gz on CentOS 8. You can use (links are clickable):
In the following sections, we will describe each method in detail. You can choose one of them or refer to the recommended one.
First, update dnf packages database with
dnf by running the next command:
sudo dnf makecache --refresh
After updating database,
You can install genotypes2m.txt.gz using
dnf by running the
sudo dnf -y install r-cran-qtl
Because genotypes2m.txt.gz is available in CentOS 8’s default
it is possible to install it from these repositories using the
To begin, update local packages database with
yum using the following command.
sudo yum makecache --refresh
Now can install genotypes2m.txt.gz package on your server/computer by running the following command:
sudo yum -y install r-cran-qtl
To update all the packages available on the system:
If you want to update a specific package like genotypes2m.txt.gz in this example you should use the following command:
yum update r-cran-qtl
To downgrade a package to an earlier version:
yum downgrade r-cran-qtl
When you run the
dnf update, all system packages with available updates are updated.
However, if you want to upgrade a single package, then you would have to pass the package name as
the argument to the dnf update command.
dnf update r-cran-qtl
To uninstall only the
genotypes2m.txt.gz package you can execute
sudo dnf remove r-cran-qtl
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.
You now have a full guide on how to install
yum package managers.
Also, we showed how to update manually as a single package and different ways to uninstall
the genotypes2m.txt.gz from CentOS 8.