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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 11 months ago
Multiple sequence alignment using a GLOCSA guided genetic algorithm
This paper introduces GLOCSA as a new scoring function to rate multiple sequence alignments. It is intended to be simple, considering the whole alignment at once and reflecting t...
Edgar David Arenas-Díaz, Helga Ochoterena-B...
IPPS
2006
IEEE
14 years 4 months ago
Parallel multiple sequence alignment with local phylogeny search by simulated annealing
The problem of multiple sequence alignment is one of the most important problems in computational biology. In this paper we present a new method that simultaneously performs multi...
Jaroslaw Zola, Denis Trystram, Andrei Tchernykh, C...
IJCAI
2003
13 years 11 months ago
Comparing Best-First Search and Dynamic Programming for Optimal Multiple Sequence Alignment
Sequence alignment is an important problem in computational biology. We compare two different approaches to the problem of optimally aligning two or more character strings: bounde...
Heath Hohwald, Ignacio Thayer, Richard E. Korf
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
14 years 1 months ago
A hybrid genetic search for multiple sequence alignment
This paper proposes a hybrid genetic algorithm for multiple sequence alignment. The algorithm evolves guide sequences and aligns input sequences based on the guide sequences. It a...
Seung-Hyun Moon, Sung-Soon Choi, Byung Ro Moon
BIBM
2009
IEEE
206views Bioinformatics» more  BIBM 2009»
14 years 4 months ago
ChemAlign: Biologically Relevant Multiple Sequence Alignment Using Physicochemical Properties
—We present a new algorithm, ChemAlign, that uses physicochemical properties and secondary structure elements to create biologically relevant multiple sequence alignments (MSAs)....
Hyrum Carroll, Mark J. Clement, Quinn Snell, David...