Use este identificador para citar ou linkar para este item: http://repositorio.bc.ufg.br/handle/ri/18644
Tipo do documento: Artigo
Título: SpotWhatR: a user-friendly microarray data analysis system
Autor: Koide, Tie
Furlaneto, Silvia Maria Salem Izac
Gomes, Suely Lopes
Vêncio, Ricardo Zorzetto Nicoliello
Abstract: SpotWhatR is a user-friendly microarray data analysis tool that runs under a widely and freely available R statistical language (http://www.r-project.org) for Windows and Linux operational systems. The aim of SpotWhatR is to help the researcher to analyze microarray data by providing basic tools for data visualization, normalization, determination of differentially expressed genes, summarization by Gene Ontology terms, and clustering analysis. SpotWhatR allows researchers who are not familiar with computational programming to choose the most suitable analysis for their microarray dataset. Along with well-known procedures used in microarray data analysis, we have introduced a standalone implementation of the HTself method, especially designed to find differentially expressed genes in low-replication contexts. This approach is more compatible with our local reality than the usual statistical meth-ods. We provide several examples derived from the Blastocladiella emersonii and Xylella fastidiosa Microarray Projects. SpotWhatR is freely available at http://blasto.iq.usp.br/~tkoide/SpotWhatR, in English and Portuguese versions. In addition, the user can choose between “single experiment” and “batch processing” versions.
Palavras-chave: Microarray data analysis
Gene ontology
Data vizualization
User-friendly system
Clustering
Normalization
País: Brasil
Unidade acadêmica: Instituto de Ciências Biológicas - ICB (RG)
Citação: KOIDE, Tie et al. SpotWhatR: an user-friendly microarray data analysis system. Genetics and Molecular Research, Ribeirão Preto, v. 5, n. 1, p. 93-107, 2006.
Tipo de acesso: Acesso Aberto
URI: http://repositorio.bc.ufg.br/handle/ri/18644
Data de publicação: 2006
Aparece nas coleções:ICB - Artigos publicados em periódicos

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