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Authors: Orazio M Scicolone ; Giulia Paciello and Elisa Ficarra

Affiliation: Politecnico di Torino, Italy

Keyword(s): RNA-Sequencing, Differentially Expressed Genes, Exon Analysis, Table of Counts.

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 sensiti vity of differentially expressed gene identification. (More)

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Paper citation in several formats:
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) - BIOINFORMATICS; ISBN 978-989-758-280-6; ISSN 2184-4305, SciTePress, pages 174-181. DOI: 10.5220/0006657501740181

@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) - BIOINFORMATICS},
year={2018},
pages={174-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006657501740181},
isbn={978-989-758-280-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOINFORMATICS
TI - geneEx
SN - 978-989-758-280-6
IS - 2184-4305
AU - Scicolone, O.
AU - Paciello, G.
AU - Ficarra, E.
PY - 2018
SP - 174
EP - 181
DO - 10.5220/0006657501740181
PB - SciTePress

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