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Published in:
2021 | OriginalPaper | Chapter
Mining_RNA: WEB-Based System Using e-Science for Transcriptomic Data Mining
Authors : Carlos Renan Moreira, Christina Pacheco, Marcos Vinícius Pereira Diógenes, Pedro Victor Morais Batista, Pedro Fernandes Ribeiro Neto, Adriano Gomes da Silva, Stela Mirla da Silva Felipe, Vânia Marilande Ceccatto, Raquel Martins de Freitas, Thalia Katiane Sampaio Gurgel, Exlley Clemente dos Santos, Cynthia Moreira Maia, Thiago Alefy Almeida e Cicília Raquel Maia Sousa, Leite
Published in: Advances in Parallel & Distributed Processing, and Applications
Publisher: Springer International Publishing
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Abstract
High-throughput gene expression studies yielded a great number of large datasets, and these are freely available in biological databases. Re-analyzing these studies individually or in clusters can produce new results relevant to the scientific community. The purpose of this work is to develop a WEB system based on the e-Science paradigm. The system should read massive amounts of data from the Gene Expression Omnibus (GEO) database, pre-process, mine, and display it in a user-friendly interface. Thus, it is intended to mitigate the difficulty in interpreting data from transcriptomic studies made using the DNA microarray technique. Also presented will be the preliminary results obtained from the initial stages of development, as well as the proposed architecture for the system.