Multiple sequence alignment with affine gap by using multi-objective genetic algorithm

Multiple sequence alignment is of central importance to bioinformatics and computational biology. Although a large number of algorithms for computing a multiple sequence alignment have been designed, the efficient computation of highly accurate and statistically significant multiple alignments is st...

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Bibliographic Details
Published in:	Computer methods and programs in biomedicine Vol. 114; no. 1; pp. 38 - 49
Main Authors:	Kaya, Mehmet, Sarhan, Abdullah, Alhajj, Reda
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ireland Ltd 01.04.2014 Elsevier
Subjects:	Algorithms Applied sciences Bioinformatics Biological and medical sciences Biotechnology Computer science; control theory; systems Data processing. List processing. Character string processing Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects Genetic engineering Genetic technics Internal Medicine Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Memory organisation. Data processing Methods. Procedures. Technologies Models, Theoretical Multi-objective genetic algorithm Multiple sequence alignment Other Sequence Alignment - methods Software Synthetic digonucleotides and genes. Sequencing Multi-objective genetic algorithm Multiple sequence alignment Bioinformatics Statistical analysis Probabilistic approach Similarity Decision making Evolutionary algorithm Sequence alignment Minimization Similarity solution Optimal decision Genetic algorithm Metric
ISSN:	0169-2607, 1872-7565, 1872-7565
Online Access:	Get full text
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