How to Install and Uninstall wise-data Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: December 11,2024
1. Install "wise-data" package
Please follow the guidelines below to install wise-data on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
wise-data
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2. Uninstall "wise-data" package
Please follow the guidance below to uninstall wise-data on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
wise-data
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the wise-data package on Ubuntu 20.10 (Groovy Gorilla)
Package: wise-data
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: 576
Recommends: wise (= 2.4.1-23)
Filename: pool/universe/w/wise/wise-data_2.4.1-23_all.deb
Size: 76792
MD5sum: 79b44bb66875adc18a8dee8d9071cf1f
SHA1: fd6de80fdb55345771f84022bf138ee1b1661a7a
SHA256: c519b87786141cb9cfbeec73b72d358bf6359e220c9c49fb634eeb7b1498e32d
SHA512: 64ff35e082e1ca36aac7cb68ae398cfec3310e06dd5a6db499591afb0976ec7e928cd133ac531e98feb6a76e76e701cb5339f7e3f4a55d8559a94c307a0a133c
Homepage: https://www.ebi.ac.uk/~birney/wise2/
Description-en: data files 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 data files for Wise2, a package focused on
comparisons of biopolymers, commonly DNA and protein sequences.
Description-md5: f5c4745c26e437121d481b3ff974af56
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: 576
Recommends: wise (= 2.4.1-23)
Filename: pool/universe/w/wise/wise-data_2.4.1-23_all.deb
Size: 76792
MD5sum: 79b44bb66875adc18a8dee8d9071cf1f
SHA1: fd6de80fdb55345771f84022bf138ee1b1661a7a
SHA256: c519b87786141cb9cfbeec73b72d358bf6359e220c9c49fb634eeb7b1498e32d
SHA512: 64ff35e082e1ca36aac7cb68ae398cfec3310e06dd5a6db499591afb0976ec7e928cd133ac531e98feb6a76e76e701cb5339f7e3f4a55d8559a94c307a0a133c
Homepage: https://www.ebi.ac.uk/~birney/wise2/
Description-en: data files 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 data files for Wise2, a package focused on
comparisons of biopolymers, commonly DNA and protein sequences.
Description-md5: f5c4745c26e437121d481b3ff974af56