Computational RNA-mics in Personalized Medicine

Personalized medicine has gained increasing prominence as a transformative approach to healthcare. The ability to tailor medical treatments to an individual's unique genetic and molecular profile holds immense promise for improving patient outcomes and reducing adverse effects. One of the critical molecular players in this paradigm is RNA, which plays diverse roles in cellular processes and disease mechanisms. This special issue aims to explore the intersection of computational biology, genomics, transcriptomics, and personalized medicine, with a specific focus on RNA molecules. We invite submissions that encompass, but are not limited to, the following areas: 1. Computational Methods: Original research articles and reviews on novel computational approaches for RNA analysis, prediction, and modeling, including RNA-seq data analysis, RNA structure prediction, and RNA-protein interactions. 2. Disease Biomarkers: Research highlighting the discovery and validation of RNA-based biomarkers for disease diagnosis, prognosis, and treatment response prediction. 3. RNA Therapeutics: Contributions discussing the development and optimization of RNA-based therapies, such as RNA interference (RNAi) and mRNA vaccines, in the context of personalized medicine. 4. Precision Oncology: Studies focusing on the application of computational RNA-mics in cancer genomics, identifying actionable RNA alterations, and designing targeted therapies. 5. Single-Cell RNA Analysis: Research on single-cell RNA sequencing (scRNA-seq) and its utility in understanding cellular heterogeneity and designing individualized treatments.

Submission deadline: 07/10/2024