GenFlow: generic flow for integration, management and analysis of molecular biology data
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400035 |
Resumo: | A large number of DNA sequencing projects all over the world have yielded a fantastic amount of data, whose analysis is, currently, a big challenge for computational biology. The limiting step in this task is the integration of large volumes of data stored in highly heterogeneous repositories of genomic and cDNA sequences, as well as gene expression results. Solving this problem requires automated analytical tools to optimize operations and efficiently generate knowledge. This paper presents an information flow model , called GenFlow, that can tackle this analytical task. |
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Genetics and Molecular Biology |
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GenFlow: generic flow for integration, management and analysis of molecular biology databiological workflowinformation modelingsemantic and control datamolecular sequence analysisA large number of DNA sequencing projects all over the world have yielded a fantastic amount of data, whose analysis is, currently, a big challenge for computational biology. The limiting step in this task is the integration of large volumes of data stored in highly heterogeneous repositories of genomic and cDNA sequences, as well as gene expression results. Solving this problem requires automated analytical tools to optimize operations and efficiently generate knowledge. This paper presents an information flow model , called GenFlow, that can tackle this analytical task.Sociedade Brasileira de Genética2004-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400035Genetics and Molecular Biology v.27 n.4 2004reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572004000400035info:eu-repo/semantics/openAccessOikawa,Marcio KatsumiBroinizi,Marcos Eduardo BolelliDermargos,AlexandreArmelin,Hugo AguirreFerreira,João Eduardoeng2005-01-14T00:00:00Zoai:scielo:S1415-47572004000400035Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2005-01-14T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false |
dc.title.none.fl_str_mv |
GenFlow: generic flow for integration, management and analysis of molecular biology data |
title |
GenFlow: generic flow for integration, management and analysis of molecular biology data |
spellingShingle |
GenFlow: generic flow for integration, management and analysis of molecular biology data Oikawa,Marcio Katsumi biological workflow information modeling semantic and control data molecular sequence analysis |
title_short |
GenFlow: generic flow for integration, management and analysis of molecular biology data |
title_full |
GenFlow: generic flow for integration, management and analysis of molecular biology data |
title_fullStr |
GenFlow: generic flow for integration, management and analysis of molecular biology data |
title_full_unstemmed |
GenFlow: generic flow for integration, management and analysis of molecular biology data |
title_sort |
GenFlow: generic flow for integration, management and analysis of molecular biology data |
author |
Oikawa,Marcio Katsumi |
author_facet |
Oikawa,Marcio Katsumi Broinizi,Marcos Eduardo Bolelli Dermargos,Alexandre Armelin,Hugo Aguirre Ferreira,João Eduardo |
author_role |
author |
author2 |
Broinizi,Marcos Eduardo Bolelli Dermargos,Alexandre Armelin,Hugo Aguirre Ferreira,João Eduardo |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Oikawa,Marcio Katsumi Broinizi,Marcos Eduardo Bolelli Dermargos,Alexandre Armelin,Hugo Aguirre Ferreira,João Eduardo |
dc.subject.por.fl_str_mv |
biological workflow information modeling semantic and control data molecular sequence analysis |
topic |
biological workflow information modeling semantic and control data molecular sequence analysis |
description |
A large number of DNA sequencing projects all over the world have yielded a fantastic amount of data, whose analysis is, currently, a big challenge for computational biology. The limiting step in this task is the integration of large volumes of data stored in highly heterogeneous repositories of genomic and cDNA sequences, as well as gene expression results. Solving this problem requires automated analytical tools to optimize operations and efficiently generate knowledge. This paper presents an information flow model , called GenFlow, that can tackle this analytical task. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400035 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400035 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1415-47572004000400035 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
Genetics and Molecular Biology v.27 n.4 2004 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
_version_ |
1752122379419516928 |