How to Install and Uninstall R-biomaRt.noarch Package on Fedora 36

Last updated: October 09,2024

1. Install "R-biomaRt.noarch" package

Here is a brief guide to show you how to install R-biomaRt.noarch on Fedora 36


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                R-biomaRt.noarch
            
                    
    
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2. Uninstall "R-biomaRt.noarch" package

This tutorial shows how to uninstall R-biomaRt.noarch on Fedora 36:


    
        
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                sudo dnf remove
            
                        
                R-biomaRt.noarch
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
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3. Information about the R-biomaRt.noarch package on Fedora 36

Last metadata expiration check: 0:02:49 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : R-biomaRt
Version : 2.48.1
Release : 3.fc36
Architecture : noarch
Size : 661 k
Source : R-biomaRt-2.48.1-3.fc36.src.rpm
Repository : fedora
Summary : R Interface to BioMart databases
URL : http://www.bioconductor.org/packages/release/bioc/html/biomaRt.html
License : Artistic 2.0
Description : In recent years a wealth of biological data has become available in public
: data repositories. Easy access to these valuable data resources and firm
: integration with data analysis is needed for comprehensive bioinformatics data
: analysis. biomaRt provides an interface to a growing collection of databases
: implementing the BioMart software suite (http://www.biomart.org). The package
: enables retrieval of large amounts of data in a uniform way without the need
: to know the underlying database schemas or write complex SQL queries. Examples
: of BioMart databases are Ensembl, COSMIC, Uniprot, HGNC, Gramene, Wormbase and
: dbSNP mapped to Ensembl. These major databases give biomaRt users direct
: access to a diverse set of data and enable a wide range of powerful online
: queries from gene annotation to database mining.