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

Last updated: November 24,2024

1. Install "fsa" package

This guide covers the steps necessary to install fsa on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the guidelines below to uninstall fsa on Ubuntu 20.10 (Groovy Gorilla):


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

Package: fsa
Architecture: amd64
Version: 1.15.9+dfsg-4build1
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: 3896
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9), mummer, exonerate
Recommends: med-config (>= 2.1)
Filename: pool/universe/f/fsa/fsa_1.15.9+dfsg-4build1_amd64.deb
Size: 792824
MD5sum: 2c735b8e9996c0b30638cd045e8961e4
SHA1: f9fa37c94635e82a7026c8a036e8798dfb67b3af
SHA256: eaf5ea6bd0807893ce01f9855828626422284bcd608ac500e6b6d3431afc9467
SHA512: 15aa318627a946f646be14f0f56033e4413e53c40c439e97993b9cff697bedcfcf2c566897eff33612ba7708ed54f00a677de48aa9edda704fe7ba86bbc1dfc7
Homepage: http://fsa.sourceforge.net/
Description-en: Fast Statistical Alignment of protein, RNA or DNA sequences
FSA is a probabilistic multiple sequence alignment algorithm which uses
a "distance-based" approach to aligning homologous protein, RNA or DNA
sequences. Much as distance-based phylogenetic reconstruction methods
like Neighbor-Joining build a phylogeny using only pairwise divergence
estimates, FSA builds a multiple alignment using only pairwise
estimations of homology. This is made possible by the sequence annealing
technique for constructing a multiple alignment from pairwise
comparisons, developed by Ariel Schwartz.
.
FSA brings the high accuracies previously available only for
small-scale analyses of proteins or RNAs to large-scale problems such as
aligning thousands of sequences or megabase-long sequences. FSA
introduces several novel methods for constructing better alignments:
* FSA uses machine-learning techniques to estimate gap and
substitution parameters on the fly for each set of input sequences.
This "query-specific learning" alignment method makes FSA very robust:
it can produce superior alignments of sets of homologous sequences
which are subject to very different evolutionary constraints.
* FSA is capable of aligning hundreds or even thousands of sequences
using a randomized inference algorithm to reduce the computational
cost of multiple alignment. This randomized inference can be over ten
times faster than a direct approach with little loss of accuracy.
* FSA can quickly align very long sequences using the "anchor
annealing" technique for resolving anchors and projecting them with
transitive anchoring. It then stitches together the alignment between
the anchors using the methods described above.
* The included GUI, MAD (Multiple Alignment Display), can display the
intermediate alignments produced by FSA, where each character is
colored according to the probability that it is correctly aligned
Description-md5: 6250169bc99ea71aef4983021689c512