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dc.contributor.authorNunes, Itamar José Guimarãespt_BR
dc.contributor.authorRecamonde-Mendoza, Marianapt_BR
dc.contributor.authorFeltes, Bruno Césarpt_BR
dc.date.accessioned2024-10-10T06:48:51Zpt_BR
dc.date.issued2022pt_BR
dc.identifier.issn1415-4757pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/279837pt_BR
dc.description.abstractThere are still numerous challenges to be overcome in microarray data analysis because advanced, state-of-the-art analyses are restricted to programming users. Here we present the Gene Expression Analysis Platform, a versatile, customizable, optimized, and portable software developed for microarray analysis. GEAP was developed in C# for the graphical user interface, data querying, storage, results filtering and dynamic plotting, and R for data processing, quality analysis, and differential expression. Through a new automated system that identifies microarray file formats, retrieves contents, detects file corruption, and solves dependencies, GEAP deals with datasets independently of platform. GEAP covers 32 statistical options, supports quality assessment, differential expression from single and dual-channel experiments, and gene ontology. Users can explore results by different plots and filtering options. Finally, the entire data can be saved and organized through storage features, optimized for memory and data retrieval, with faster performance than R. These features, along with other new options, are not yet present in any microarray analysis software. GEAP accomplishes data analysis in a faster, straightforward, and friendlier way than other similar software, while keeping the flexibility for sophisticated procedures. By developing optimizations, unique customizations and new features, GEAP is destined for both advanced and non-programming users.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofGenetics and molecular biology. Vol. 45, no. 1 (2022), 15 p.pt_BR
dc.rightsOpen Accessen
dc.subjectSoftwarept_BR
dc.subjectMicroarrayen
dc.subjectGene expressionen
dc.subjectAnálise de dadospt_BR
dc.subjectExpressão gênicapt_BR
dc.subjectBiomedical researchen
dc.subjectPesquisa biomédicapt_BR
dc.titleGene Expression Analysis Platform (GEAP) : a highly customizable, fast, versatile and ready-to-use microarray analysis platformpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001147579pt_BR
dc.type.originEstrangeiropt_BR


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