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» Evolving Better Multiple Sequence Alignments
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GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
14 years 4 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
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 4 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
BMCBI
2006
156views more  BMCBI 2006»
13 years 11 months ago
Detecting the limits of regulatory element conservation and divergence estimation using pairwise and multiple alignments
Background: Molecular evolutionary studies of noncoding sequences rely on multiple alignments. Yet how multiple alignment accuracy varies across sequence types, tree topologies, d...
Daniel A. Pollard, Alan M. Moses, Venky N. Iyer, M...
BMCBI
2006
139views more  BMCBI 2006»
13 years 11 months ago
Improvement in accuracy of multiple sequence alignment using novel group-to-group sequence alignment algorithm with piecewise li
Background: Multiple sequence alignment (MSA) is a useful tool in bioinformatics. Although many MSA algorithms have been developed, there is still room for improvement in accuracy...
Shinsuke Yamada, Osamu Gotoh, Hayato Yamana
BMCBI
2006
137views more  BMCBI 2006»
13 years 11 months ago
Sigma: multiple alignment of weakly-conserved non-coding DNA sequence
Background: Existing tools for multiple-sequence alignment focus on aligning protein sequence or protein-coding DNA sequence, and are often based on extensions to Needleman-Wunsch...
Rahul Siddharthan