Aligning Multiple Sequences with Genetic Algorithm

dc.creatorFatumo, S., Akinyemi, I. O., Adebiyi, E. F.
dc.date2009-06
dc.date.accessioned2025-03-06T12:41:46Z
dc.descriptionThe alignment of biological sequences is a crucial tool in molecular biology and genome analysis. It helps to build a phylogenetic tree of related DNA sequences and also to predict the function and structure of unknown protein sequences by aligning with other sequences whose function and structure is already known. However, finding an optimal multiple sequence alignment takes time and space exponential with the length or number of sequences increases. Genetic Algorithms (GAs) are strategies of random searching that optimize an objective function which is a measure of alignment quality (distance) and has the ability for exploratory search through the solution space and exploitation of current results.
dc.formatapplication/pdf
dc.identifierhttp://eprints.covenantuniversity.edu.ng/1131/
dc.identifier.urihttp://itsupport.cu.edu.ng:4000/handle/123456789/29529
dc.languageen
dc.subjectQA75 Electronic computers. Computer science
dc.titleAligning Multiple Sequences with Genetic Algorithm
dc.typeArticle

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