fsa 1.15.9+dfsg-3 source package in Ubuntu

 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 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