1. Mining_RNA: WEB-Based System Using e-Science for Transcriptomic Data Mining
- Author
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Leite Thiago Alefy Almeida e Cicília Raquel Maia Sousa, Vânia Marilande Ceccatto, Cynthia Moreira Maia, Carlos Renan Moreira, Adriano Gomes da Silva, Raquel Martins de Freitas, Pedro Victor Morais Batista, Stela Mirla da Silva Felipe, Christina Pacheco, Marcos Vinícius Pereira Diógenes, Pedro Fernandes Ribeiro Neto, Exlley Clemente dos Santos, and Thalia Katiane Sampaio Gurgel
- Subjects
Gene expression omnibus ,Web system ,Computer science ,business.industry ,Interface (computing) ,e-Science ,Biological database ,Web application ,Data mining ,DNA microarray ,computer.software_genre ,business ,computer - 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.
- Published
- 2021