How To Install t25out.txt.gz on Fedora 34
In this tutorial, we will discuss How To Install t25out.txt.gz on Fedora 34
using dnf
and yum
package managers.
Also, we will demonstrate how to uninstall and update
t25out.txt.gz
as well.
One-liner Install Command
If you are only interested in the installation command, here is a quick answer for you:
sudo yum makecache && sudo yum -y install r-cran-qtl
or if you use dnf
:
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.
What is t25out.txt.gz
and How to Install It?
Short description: GNU R package for genetic marker linkage analysis
First things first, you will need access to a server or computer running Fedora 34. This guide was written specifically with a server running Fedora 34 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 t25out.txt.gz on Fedora 34. 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.
Install t25out.txt.gz on Fedora 34 using dnf
First, update dnf packages database with dnf
by running the next command:
sudo dnf makecache --refresh
After updating database,
You can install t25out.txt.gz using dnf
by running the
following command:
sudo dnf -y install r-cran-qtl
Install t25out.txt.gz on Fedora 34 using yum
Because t25out.txt.gz is available in Fedora 34’s default
repositories,
it is possible to install it from these repositories using the yum
packaging
system.
To begin, update local packages database with yum
using the following command.
sudo yum makecache --refresh
Now can install t25out.txt.gz package on your server/computer by running the following command:
sudo yum -y install r-cran-qtl
How to upgrade (update) a single package t25out.txt.gz using yum?
To update all the packages available on the system:
yum update
If you want to update a specific package like t25out.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
How to Upgrade t25out.txt.gz on Fedora 34 with dnf?
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
How To remove t25out.txt.gz from Fedora 34
To uninstall only the t25out.txt.gz
package you can execute
the
following command:
sudo dnf remove r-cran-qtl
Extra info and code examples
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.
- Maintainer: Debian R Packages Maintainers
- Sources url: https://cran.r-project.org/package=qtl
- Section/Category: gnu-r
Conclusion
You now have a full guide on how to install t25out.txt.gz
using dnf
and yum
package managers.
Also, we showed how to update manually as a single package and different ways to uninstall
the t25out.txt.gz from Fedora 34.