geneEx

Orazio M Scicolone, Giulia Paciello, Elisa Ficarra

2018

Abstract

The widespread of Next Generation Sequencing technologies accounted in recent years for the possibility to evaluate gene expression with great accuracy. Moreover, it allowed assessing differential gene expression among biological conditions with high sensitivity. However, state-of-the-art bioinformatics methodologies for differential gene expression evaluation from RNA Sequencing data still suffer from several drawbacks such as reduced specificity. In this paper we propose geneEx, a novel methodology and tool for differential gene expression evaluation from RNA Sequencing reads. By combining gene and exon expression evaluation and BioMart information, geneEX provides users with annotated lists of highly reliable differentially expressed genes. The results obtained in Sequencing Quality Control dataset proven the importance of a novel approach to lower False Positive predictions from current methodologies and the strength of the proposed methodological approach to increase the sensitivity of differentially expressed gene identification.

Paper Citation

in Harvard Style

Scicolone O., Paciello G. and Ficarra E. (2018). geneEx. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-280-6, SciTePress, pages 174-181. DOI: 10.5220/0006657501740181

in Bibtex Style

@conference{bioinformatics18,
author={Orazio M Scicolone and Giulia Paciello and Elisa Ficarra},
title={geneEx},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 3: BIOINFORMATICS},
year={2018},
pages={174-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006657501740181},
isbn={978-989-758-280-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 3: BIOINFORMATICS
TI - geneEx
SN - 978-989-758-280-6
AU - Scicolone O.
AU - Paciello G.
AU - Ficarra E.
PY - 2018
SP - 174
EP - 181
DO - 10.5220/0006657501740181
PB - SciTePress