Loading...
Thumbnail Image
Item

Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review

Rosati, Diletta
Palmieri, Maria
Brunelli, Giulia
Morrione, Andrea
Iannelli, Francesco
Frullanti, Elisa
Giordano, Antonio
Research Projects
Organizational Units
Journal Issue
DOI
https://doi.org/10.1016/j.csbj.2024.02.018
Abstract
In recent years, the role of bioinformatics and computational biology together with omics techniques and transcriptomics has gained tremendous importance in biomedicine and healthcare, particularly for the identification of biomarkers for precision medicine and drug discovery. Differential gene expression (DGE) analysis is one of the most used techniques for RNA-sequencing (RNA-seq) data analysis. This tool, which is typically used in various RNA-seq data processing applications, allows the identification of differentially expressed genes across two or more sample sets. Functional enrichment analyses can then be performed to annotate and contextualize the resulting gene lists. These studies provide valuable information about disease-causing biological processes and can help in identifying molecular targets for novel therapies. This review focuses on differential gene expression (DGE) analysis pipelines and bioinformatic techniques commonly used to identify specific biomarkers and discuss the advantages and disadvantages of these techniques.
Description
Citation
Diletta Rosati, Maria Palmieri, Giulia Brunelli, Andrea Morrione, Francesco Iannelli, Elisa Frullanti, Antonio Giordano, Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review, Computational and Structural Biotechnology Journal, Volume 23, 2024, Pages 1154-1168, ISSN 2001-0370, https://doi.org/10.1016/j.csbj.2024.02.018. (https://www.sciencedirect.com/science/article/pii/S2001037024000424)
Citation to related work
Elsevier
Has part
Computational and Structural Biotechnology Journal, Vol. 23
ADA compliance
Embedded videos
License
Attribution-NonCommercial-NoDerivs CC BY-NC-ND