Metaheuristics for multiple sequence alignment: A systematic review

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Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Paulista - ICET - Campus de São José do Rio Preto-
Autor(es): dc.creatorAmorim, Anderson Rici-
Autor(es): dc.creatorZafalon, Geraldo Francisco Donegá-
Autor(es): dc.creatorContessoto, Allan de Godoi-
Autor(es): dc.creatorValêncio, Carlos Roberto-
Autor(es): dc.creatorSato, Liria Matsumoto-
Data de aceite: dc.date.accessioned2025-08-21T17:41:47Z-
Data de disponibilização: dc.date.available2025-08-21T17:41:47Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2021-10-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.compbiolchem.2021.107563-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/233428-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/233428-
Descrição: dc.descriptionThe Multiple Sequence Alignment (MSA) is a key task in bioinformatics, because it is used in different important biological analysis, such as function and structure prediction of unknown proteins. There are several approaches to perform MSA and the use of metaheuristics stands out because of the search ability of these methods, which generally leads to good results in a reasonable amount of time. This paper presents a Systematic Literature Review (SLR) on metaheuristics for MSA, compiling relevant works published between 2014 and 2019. The results of our SLR show the constant interest in this subject, due to the several recent publications that use different metaheuristics to obtain more accurate alignments. Moreover, the final results of our SLR show a multi-objective and hybrid approaches trends, which generally leads these methods to achieve even better results. Thus, we show in this work how the use of metaheuristics to perform MSA still remains an important and promising open research field.-
Descrição: dc.descriptionDepartment of Computer and Digital Systems Engineering Universidade de São Paulo (USP) - Escola Politécnica, Av. Prof. Luciano Gualberto, Travessa 3, 158, Butantã-
Descrição: dc.descriptionDepartment of Computer Science and Statistics Universidade Estadual Paulista (UNESP), Rua Cristóvão Colombo, 2265, Jardim Nazaret-
Descrição: dc.descriptionUniversidade Paulista - ICET - Campus de São José do Rio Preto, Av. Presidente Juscelino Kubitschek de Oliveira, s/n, Jardim Tarraf II-
Descrição: dc.descriptionDepartment of Computer Science and Statistics Universidade Estadual Paulista (UNESP), Rua Cristóvão Colombo, 2265, Jardim Nazaret-
Idioma: dc.languageen-
Relação: dc.relationComputational Biology and Chemistry-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectBioinformatics-
Palavras-chave: dc.subjectMetaheuristics-
Palavras-chave: dc.subjectMulti-objective optimization-
Palavras-chave: dc.subjectMultiple sequence alignment-
Palavras-chave: dc.subjectSystematic literature review-
Título: dc.titleMetaheuristics for multiple sequence alignment: A systematic review-
Tipo de arquivo: dc.typevídeo-
Aparece nas coleções:Repositório Institucional - Unesp

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