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Mining_RNA: WEB-Based System Using e-Science for Transcriptomic Data Mining

Authors :
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
Thalia Katiane Sampaio Gurgel
Source :
Advances in Parallel & Distributed Processing, and Applications ISBN: 9783030699833
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

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.

Details

ISBN :
978-3-030-69983-3
ISBNs :
9783030699833
Database :
OpenAIRE
Journal :
Advances in Parallel & Distributed Processing, and Applications ISBN: 9783030699833
Accession number :
edsair.doi...........c6fcc42346cb38a64653280ceee30fe3