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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

GenFlow: generic flow for integration, management and analysis of molecular biology data

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Author(s):
Marcio Katsumi Oikawa [1] ; Marcos Eduardo Bolelli Broinizi [2] ; Alexandre Dermargos [3] ; Hugo Aguirre Armelin [4] ; João Eduardo Ferreira [5]
Total Authors: 5
Affiliation:
[1] Universidade de São Paulo. Instituto de Matemática e Estatística. Departamento de Ciência da Computação - Brasil
[2] Universidade de São Paulo. Instituto de Matemática e Estatística. Departamento de Ciência da Computação - Brasil
[3] Universidade de São Paulo. Instituto de Química. Departamento de Bioquímica - Brasil
[4] Universidade de São Paulo. Instituto de Química. Departamento de Bioquímica - Brasil
[5] Universidade de São Paulo. Instituto de Matemática e Estatística. Departamento de Ciência da Computação - Brasil
Total Affiliations: 5
Document type: Journal article
Source: GENETICS AND MOLECULAR BIOLOGY; v. 27, n. 4, p. 691-695, 2004-00-00.
Abstract

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. (AU)