Abstract
Understanding the molecular mechanisms underlying diseases is essential for the development of effective therapies and personalized treatments. Bioinformatics approaches have become a key component in studying disease mechanisms by enabling the analysis of large-scale omics data, including genomics, transcriptomics, proteomics, and metabolomics. This article reviews bioinformatics methods used to investigate disease mechanisms, including gene expression analysis, pathway analysis, network-based approaches, and the integration of multi-omics data. We also discuss the challenges and future directions in bioinformatics research for understanding disease mechanisms.
All articles published in the American Journal of Bioinformatics (AJB) are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Under this license, authors retain full copyright of their work and grant permission to anyone to:
-
Share — copy and redistribute the material in any medium or format
-
Adapt — remix, transform, and build upon the material for any purpose, even commercially
Conditions:
-
Attribution: Appropriate credit must be given to the original author(s) and the source, a link to the license must be provided, and any changes made must be indicated.
-
No additional restrictions: You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
This open-access license ensures that scholarly work published in AJB is freely accessible and usable, promoting knowledge dissemination and academic collaboration worldw