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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Koide, T. Salem-Izacc, S. M. Gomes, S. L. Vêncio, R. Z. |
| Description | Country affiliation: Brazil Responsible library: BR1.1 Author Affiliation: Koide, T ( Universidade de São Paulo. Instituto de Química. Departamento de Bioquímica. São Paulo. BR); Salem-Izacc, S. M ( Universidade de São Paulo. Instituto de Química. Departamento de Bioquímica. São Paulo. BR); Gomes, S. L ( Universidade de São Paulo. Instituto de Química. Departamento de Bioquímica. São Paulo. BR); Vêncio, R. Z ( Hospital Israelita Albert Einstein. Instituto Israelita de Ensino e Pesquisa Albert Einstein. São Paulo. BR) |
| 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 stand-alone 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 methods. 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 [quot ]single experiment[quot ] and [quot ]batch processing[quot ] versions. |
| e-ISSN | 16765680 |
| Journal | Genetics and Molecular Research |
| Issue Number | 1 |
| Volume Number | 5 |
| Language | English |
| Publisher | Fundação de Pesquisas Científicas de Ribeirão Preto |
| Publisher Place | Brazil |
| Access Restriction | Open |
| Subject Keyword | Blastocladiella Genetics Gene Expression Profiling Oligonucleotide Array Sequence Analysis Instrumentation Xylella Cluster Analysis Computer Graphics User-computer Interface Discipline Genetics Discipline Molecular Biology Discipline Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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