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GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
13 years 9 months ago
Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm
In this paper we present an approach that evolves the consensus sequence [25] for multiple sequence alignment (MSA) with genetic algorithm (GA). We have developed an encoding schem...
Conrad Shyu, James A. Foster
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
13 years 10 months ago
Evolving Better Multiple Sequence Alignments
Aligning multiple DNA or protein sequences is a fundamental step in the analyses of phylogeny, homology and molecular structure. Heuristic algorithms are applied because optimal mu...
Luke Sheneman, James A. Foster
BIOCOMP
2006
13 years 6 months ago
PAC: Progressive Alignment with Consensus Sequences
Computation of multiple sequence alignments is one of the major open problems in computational molecular biology. The purpose of this study was to provide a new method, PAC (Progre...
Ke Liu, Mansur H. Samadzadeh
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
13 years 8 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
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 5 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...