Computational Biology - CompBio

The Computational Biology (CompBio) group tackles challenging biological problems by leveraging computational methods and high-throughput sequencing technologies.   The group specialises in generating and integrating large-scale datasets, particularly high-throughput sequencing data encompassing genomics, transcriptomics, and metagenomics. This data is the foundation for developing the most promising hypotheses to address biological questions by employing advanced computational methods and actively developing novel ones. This includes designing new algorithms, implementing software pipelines, and harnessing the power of machine learning. 

The research interests of the COMPBIO group are vast and cover a range of topics from machine learning to cancer genomics, with a particular focus on solving issues related to genomics and biodiversity. To support this diverse research, the group fosters interdisciplinary collaborations both within and outside of the group. 

COMPBIO engages in a multifaceted research and development (R&D) activities, including basic research, applied research, and technology development. The foundational research encompasses genome assembly, annotation, and characterisation, as well as transcriptome analysis to understand gene expression and regulation across different cell types and conditions. These discoveries pave the way for future developments in various biological and medical fields. 

COMPBIO translates fundamental knowledge gained through their research into practical applications that address real-world challenges. For instance, the group leverages their expertise to assess biodiversity and monitor invasive species. Furthermore, they develop innovative tools and methods to design new algorithms, create software workflows, and integrate machine learning techniques into their research to identify patterns, make predictions, and accelerate discovery. 

By integrating these R&D dimensions, COMPBIO strives to generate fundamental knowledge and translate it into practical applications that benefit society and the environment.