How to Install and Uninstall fsa Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: December 25,2024

1. Install "fsa" package

Please follow the guidance below to install fsa on Ubuntu 21.04 (Hirsute Hippo)


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

This tutorial shows how to uninstall fsa on Ubuntu 21.04 (Hirsute Hippo):


    
        
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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 21.04 (Hirsute Hippo)

Package: fsa
Architecture: amd64
Version: 1.15.9+dfsg-6
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: 4308
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), mummer, exonerate
Recommends: med-config (>= 2.1)
Filename: pool/universe/f/fsa/fsa_1.15.9+dfsg-6_amd64.deb
Size: 703332
MD5sum: 4b9969c730af433682166d338f2e509f
SHA1: 6a272d96040b99cc86cf74014ce802afb278d76b
SHA256: 031806ccf684ab2393f75ad485a6b645796b58ad4dea29526a8a0ec638e74dbe
SHA512: 4acf275d1354434396d7652a4fc14d2db2b5d8816f9feffdc9740b97524a3b8c1ed9f0917541e284ab4def004049ac458965152082dc4f84897105f3a5150f78
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