How to Install and Uninstall wise Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: December 26,2024

1. Install "wise" package

Here is a brief guide to show you how to install wise on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                wise
            
                    
    
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2. Uninstall "wise" package

This is a short guide on how to uninstall wise on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                wise
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the wise package on Ubuntu 20.10 (Groovy Gorilla)

Package: wise
Architecture: amd64
Version: 2.4.1-23
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 9818
Depends: libc6 (>= 2.29), libglib2.0-0 (>= 2.12.0), wise-data (= 2.4.1-23)
Suggests: wise-doc (= 2.4.1-23)
Filename: pool/universe/w/wise/wise_2.4.1-23_amd64.deb
Size: 995376
MD5sum: cd610b560fbd5622eb9f769c56b4dbb0
SHA1: 77f72a0138a5eb937f33e3136e625bde4cb97903
SHA256: 1815465feb20462b50af9ad88feb27a0f830e7ae9d17f06f5fa2b6510ed3009c
SHA512: d614c809499adbd9a40bf612d1fa67b3ebd58c0399c3d4e440ee0c55ea8e5226f4dd06cb3ec976de87f1173082ed1c303e5a83afb7e8c0156c61a173bfedbd73
Homepage: https://www.ebi.ac.uk/~birney/wise2/
Description-en: comparison of biopolymers, like DNA and protein sequences
Wise2 is a package focused on comparisons of biopolymers, commonly DNA
and protein sequences. There are many other packages which do
this, probably the best known being BLAST package (from NCBI) and the
Fasta package (from Bill Pearson). There are other packages, such as
the HMMER package (Sean Eddy) or SAM package (UC Santa Cruz) focused
on hidden Markov models (HMMs) of biopolymers.
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Wise2's particular forte is the comparison of DNA sequence at the level
of its protein translation. This comparison allows the simultaneous
prediction of say gene structure with homology based alignment.
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Wise2 also contains other algorithms, such as the venerable Smith-Waterman
algorithm, or more modern ones such as Stephen Altschul's generalised
gap penalties, or even experimental ones developed in house, such as
dba. The development of these algorithms is due to the ease of developing
such algorithms in the environment used by Wise2.
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Wise2 has also been written with an eye for reuse and maintainability.
Although it is a pure C package you can access its functionality
directly in Perl. Parts of the package (or the entire package) can
be used by other C or C++ programs without namespace clashes as all
externally linked variables have the unique identifier Wise2 prepended.
Description-md5: 05a1cea55c0eba36881cfc9891c0d3b1