Bioinformatics tools in molecular oncology

Abstract

Bioinformatics and molecular oncology are rapidly evolving scientific field, so their integration has become fundamental, offering powerful capabilities for mutation detection, driver gene identification, prognostic analysis and personalized treatment strategies. In this brief descriptive review, several key bioinformatic tools are presented, within the constraints of the paper’s format, highlighting their advantages and potential limitations. These tools and wide array of publically available databases and platforms support research in this area. However, challenges such as data quality, computational infrastructure, adequate expertise, and the need for both experimental and clinical validation must be addressed in the future studies. Nevertheless, the continuous advancements of bioinformatics tools is expected to improve the concept of personalized medicine and potentially lead to improved patient outcomes.