GenFlow: generic flow for integration, management and analysis of molecular biology data
| Autor: | Hugo A. Armelin, João Eduardo Ferreira, Marcos Eduardo Bolelli Broinizi, Alexandre Dermargos, Marcio K. Oikawa |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2004 |
| Předmět: |
semantic and control data
lcsh:QH426-470 molecular sequence analysis BIOINFORMÁTICA biological workflow Limiting Computational biology Biology Bioinformatics DNA sequencing Task (project management) lcsh:Genetics Flow (mathematics) Information model information modeling Genetics Information flow (information theory) Molecular Biology |
| Zdroj: | Genetics and Molecular Biology v.27 n.4 2004 Genetics and Molecular Biology Sociedade Brasileira de Genética (SBG) instacron:SBG Genetics and Molecular Biology, Volume: 27, Issue: 4, Pages: 691-695, Published: 2004 Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP Genetics and Molecular Biology, Vol 27, Iss 4, Pp 691-695 (2004) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|