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Support for accessibility, reproducibility and transparency in a service-oriented gene expression analysis platform

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Author(s):
da Silva, Wilson Daniel ; Guareis de Farias, Clever Ricardo ; IEEE
Total Authors: 3
Document type: Journal article
Source: 2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS); v. N/A, p. 6-pg., 2019-01-01.
Abstract

An integrated platform can be used to support the analysis of gene expression data. In principle, this platform should provide support for accessibility, reproducibility and transparency in order to facilitate its use. However, this support varies among different platforms. SemanticSCo consists of an integrated platform that allows the development of a gene expression analysis workflow based on the semiautomatic composition of semantic web services. SemanticSCo provides limited support for accessibility. Further, the platform lacks support for reproducibility and transparency. This paper describes how accessibility was improved and how reproducibility and transparency were introduced into a new version of the platform, called SemanticSCo Web. These improvements facilitate the development, execution and sharing of gene expression analysis workflows. (AU)

FAPESP's process: 15/01587-0 - Storage, modeling and analysis of dynamical systems for e-Science applications
Grantee:João Eduardo Ferreira
Support Opportunities: Research Grants - eScience and Data Science Program - Thematic Grants