fsa 1.15.9+dfsg-4 source package in Ubuntu


fsa (1.15.9+dfsg-4) unstable; urgency=medium

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 -- Andreas Tille <email address hidden>  Wed, 18 Jul 2018 21:07:06 +0200

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Uploaded by:
Debian Med on 2018-07-18
Uploaded to:
Original maintainer:
Debian Med
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release on 2019-10-18 universe misc
Eoan release on 2019-04-18 universe misc
Disco release on 2018-10-30 universe misc
Cosmic release on 2018-07-20 universe misc


File Size SHA-256 Checksum
fsa_1.15.9+dfsg-4.dsc 1.9 KiB dc008235399485947b84929e8fec1af298f0bcf19e338d815a1d7f24a372a97f
fsa_1.15.9+dfsg.orig.tar.xz 545.6 KiB c3a845122e08f5e3c0fb96ef5133270a386c4ac6198856fc56aa2a796c0a6377
fsa_1.15.9+dfsg-4.debian.tar.xz 12.8 KiB cb75f55ceedf1c17b806926217240cf8dfc2c55c0de46abbbf17f917ba4fcb0a

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Binary packages built by this source

fsa: 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

fsa-dbgsym: debug symbols for fsa