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

Last updated: December 03,2024

1. Install "wise-doc" package

This tutorial shows how to install wise-doc on Ubuntu 20.10 (Groovy Gorilla)


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

This tutorial shows how to uninstall wise-doc on Ubuntu 20.10 (Groovy Gorilla):


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

Package: wise-doc
Architecture: all
Version: 2.4.1-23
Priority: optional
Section: universe/doc
Source: wise
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1283
Recommends: wise (= 2.4.1-23), xpdf-reader | pdf-viewer
Filename: pool/universe/w/wise/wise-doc_2.4.1-23_all.deb
Size: 812380
MD5sum: 9be2d04e5aafbb3a9a45f956485a4d86
SHA1: 79443a6f550207cf169e1ad78fc041784e2e2c50
SHA256: 03fda5b4559ad522d37f09f51ed19a0481e14ad77ca304aff19b035f9aba381d
SHA512: cd5964bdee28db24492191f339d2e4daf5d742a276b98c3af2faba42cd39148775c36d5107f3a78d7606610ce82575bb8e4cdaeaac8d616448a9bcd41e8030db
Homepage: https://www.ebi.ac.uk/~birney/wise2/
Description-en: documentation for the wise package
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.
.
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.
.
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.
.
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.
.
This package contains the documentation for Wise2, a package focused on
comparisons of biopolymers, commonly DNA and protein sequences.
Description-md5: 4ef5d5cfbae40072d426ca7311c3ba0a