Multi-agent systems and machine learning facilitating genoma annotation
Autor(a) principal: | |
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Data de Publicação: | 2005 |
Outros Autores: | |
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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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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info:eu-repo/semantics/article info:eu-repo/semantics/other |
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article |
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publishedVersion |
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http://hdl.handle.net/10183/265537 |
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0103-4308 |
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000479128 |
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http://hdl.handle.net/10183/265537 |
dc.language.iso.fl_str_mv |
eng |
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eng |
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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info:eu-repo/semantics/openAccess |
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openAccess |
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