Multi-agent systems and machine learning facilitating genoma annotation

Detalhes bibliográficos
Autor(a) principal: Bazzan, Ana Lucia Cetertich
Data de Publicação: 2005
Outros Autores: Carvalho, Andre Carlos Ponce de Leon Ferreira de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/265537
Resumo: Multi-agent systems and Machine Learning techniques are being frequently used in genome projects. One of their uses is in the annotation process (annotation pipeline). Annotation employs a high number of programs and scripts, which can be automated, thus freeing the specialist to carry out more valuable tasks. Artificial Intelligence and Machine Learning techniques have been employed in several problems, such as phylogeny reconstruction, protein annotation, protein structure prediction, gene identification, gene expression analysis, sequences alignment, and so on. This paper discusses three Molecular Biology problems where Artificial Intelligence and Machine Learning techniques have been successfully employed: gene identification, gene expression analysis, and protein annotation.
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spelling Bazzan, Ana Lucia CetertichCarvalho, Andre Carlos Ponce de Leon Ferreira de2023-09-30T03:41:37Z20050103-4308http://hdl.handle.net/10183/265537000479128Multi-agent systems and Machine Learning techniques are being frequently used in genome projects. One of their uses is in the annotation process (annotation pipeline). Annotation employs a high number of programs and scripts, which can be automated, thus freeing the specialist to carry out more valuable tasks. Artificial Intelligence and Machine Learning techniques have been employed in several problems, such as phylogeny reconstruction, protein annotation, protein structure prediction, gene identification, gene expression analysis, sequences alignment, and so on. This paper discusses three Molecular Biology problems where Artificial Intelligence and Machine Learning techniques have been successfully employed: gene identification, gene expression analysis, and protein annotation.application/pdfengRevista de informática teórica e aplicada. Porto Alegre, RS. Vol. 12, n. 1 (jun. 2005), p. 83-110BioinformáticaGenomaAprendizagem : MaquinaSistemas multiagentesMulti-agent systems and machine learning facilitating genoma annotationinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT000479128.pdf.txt000479128.pdf.txtExtracted Texttext/plain69646http://www.lume.ufrgs.br/bitstream/10183/265537/2/000479128.pdf.txt1a5c70079999f6629afb34d2e854905fMD52ORIGINAL000479128.pdfTexto completo (inglês)application/pdf14911686http://www.lume.ufrgs.br/bitstream/10183/265537/1/000479128.pdfa79a2b20fe16fef072b33b14f2b6a1b5MD5110183/2655372023-10-01 03:38:29.606041oai:www.lume.ufrgs.br:10183/265537Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-10-01T06:38:29Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Multi-agent systems and machine learning facilitating genoma annotation
title Multi-agent systems and machine learning facilitating genoma annotation
spellingShingle Multi-agent systems and machine learning facilitating genoma annotation
Bazzan, Ana Lucia Cetertich
Bioinformática
Genoma
Aprendizagem : Maquina
Sistemas multiagentes
title_short Multi-agent systems and machine learning facilitating genoma annotation
title_full Multi-agent systems and machine learning facilitating genoma annotation
title_fullStr Multi-agent systems and machine learning facilitating genoma annotation
title_full_unstemmed Multi-agent systems and machine learning facilitating genoma annotation
title_sort Multi-agent systems and machine learning facilitating genoma annotation
author Bazzan, Ana Lucia Cetertich
author_facet Bazzan, Ana Lucia Cetertich
Carvalho, Andre Carlos Ponce de Leon Ferreira de
author_role author
author2 Carvalho, Andre Carlos Ponce de Leon Ferreira de
author2_role author
dc.contributor.author.fl_str_mv Bazzan, Ana Lucia Cetertich
Carvalho, Andre Carlos Ponce de Leon Ferreira de
dc.subject.por.fl_str_mv Bioinformática
Genoma
Aprendizagem : Maquina
Sistemas multiagentes
topic Bioinformática
Genoma
Aprendizagem : Maquina
Sistemas multiagentes
description Multi-agent systems and Machine Learning techniques are being frequently used in genome projects. One of their uses is in the annotation process (annotation pipeline). Annotation employs a high number of programs and scripts, which can be automated, thus freeing the specialist to carry out more valuable tasks. Artificial Intelligence and Machine Learning techniques have been employed in several problems, such as phylogeny reconstruction, protein annotation, protein structure prediction, gene identification, gene expression analysis, sequences alignment, and so on. This paper discusses three Molecular Biology problems where Artificial Intelligence and Machine Learning techniques have been successfully employed: gene identification, gene expression analysis, and protein annotation.
publishDate 2005
dc.date.issued.fl_str_mv 2005
dc.date.accessioned.fl_str_mv 2023-09-30T03:41:37Z
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dc.language.iso.fl_str_mv eng
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dc.relation.ispartof.pt_BR.fl_str_mv Revista de informática teórica e aplicada. Porto Alegre, RS. Vol. 12, n. 1 (jun. 2005), p. 83-110
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