Campo DC | Valor | Lengua/Idioma |
dc.contributor.author | Ribeiro, Edward de Oliveira | - |
dc.contributor.author | Zerlotini, Gustavo G. | - |
dc.contributor.author | Lopes, Irving R. M. | - |
dc.contributor.author | Ribeiro, Victor B. R. | - |
dc.contributor.author | Melo, Melo, Alba Cristina Magalhães Alves de | - |
dc.contributor.author | Walter, Maria Emília Machado Telles | - |
dc.contributor.author | Costa, Marcos Mota | - |
dc.contributor.author | BIOFOCO Network | - |
dc.date.accessioned | 2018-06-26T13:44:52Z | - |
dc.date.available | 2018-06-26T13:44:52Z | - |
dc.date.issued | 2005-09-30 | - |
dc.identifier.citation | RIBEIRO, Edward et al. A distributed computation of Interpro Pfam, PROSITE and ProDom for protein annotation. Genetics and Molecular Research, v. 4, n. 3, p. 590-598, 2005. Disponível em: <http://www.funpecrp.com.br/gmr/year2005/vol3-4/pdf/wob10.pdf>. Acesso em: 15 jun. 2018. | pt_BR |
dc.identifier.uri | http://repositorio.unb.br/handle/10482/32103 | - |
dc.language.iso | Inglês | pt_BR |
dc.publisher | FUNPEC-RP | pt_BR |
dc.rights | Acesso Aberto | pt_BR |
dc.title | A distributed computation of Interpro Pfam, PROSITE and ProDom for protein annotation | pt_BR |
dc.type | Artigo | pt_BR |
dc.subject.keyword | Processamento eletrônico de dados - processamento distribuído | pt_BR |
dc.subject.keyword | Interpro | pt_BR |
dc.subject.keyword | Biologia computacional | pt_BR |
dc.rights.license | Genetics and Molecular Research - Autorização concedida ao Repositório Institucional da Universidade de Brasília (RIUnB) pelo editor da revista, em 29 mar. 2016, com os seguintes termos: disponível sob Licença Creative Commons 4.0 International, que permite copiar, distribuir e transmitir o trabalho, desde que seja citado o autor e licenciante. Não permite o uso para fins comerciais nem a adaptação desta. | pt_BR |
dc.description.abstract1 | Interpro is a widely used tool for protein annotation in genome sequencing projects, demanding a large amount of computation and representing a huge time-consuming step. We present a strategy to execute programs using databases Pfam, PROSITE and ProDom of Interpro in a distributed environment using a Java-based messaging system. We developed a two-layer scheduling architecture of the distributed infrastructure. Then, we made experiments and analyzed the results. Our distributed system gave much better results than Interpro Pfam, PROSITE and ProDom running in a centralized platform. This approach seems to be appropriate and promising for highly demanding computational tools used for biological applications. | pt_BR |
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