Computational Biology

Computational Biology

Solving current challenges in genomic data analysis and visualisation

The Computational Biology Lab is focused on the development of advanced computing solutions using the most modern HPC and Big Data technologies to solve current challenges in genomic data analysis and visualisation.

We are interested in developing new algorithms and bioinformatic tools for the analysis of genomic data that will enable researchers to understand what biological processes, genes or variants are involved in different phenotypes or diseases. 

Our main lines of research cover: 

  • Characterisation and analysis of genomic variants 

  • Next-Generation Sequencing (NGS) data processing and analysis 

  • Computational Systems Biology HPC and Big Data (Hadoop, Spark) software development for genome scale data analysis 

  • Machine Learning and Data Mining 

  • Cloud-based solutions to process and manage large amounts of data 

  • Databases and Genome scale data visualisation

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News & Events

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News

RCS at the AI Cafe

RCS was excited to participate in yesterday’s AI Café, hosted by the University of Cambridge’s Accelerate Programme. At the West...
RCS at the AI Cafe
News

Dawn at ISC 2024

At our ISC 2024 Dawn stand, RCS team member Simon Clifford presents the research our pioneer users are doing on...
Dawn at ISC 2024
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ISC 2024 Diversity Day

It’s Diversity Day at ISC 2024. This year the team are once again proud to support the Women in HPC...
ISC 2024 Diversity Day
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RCS at ISC 2024

Matt Archer and Stefanie Reuter from our research software engineering team present at ISC 2024 on 'Enhancing the Symbiosis Between...
RCS at ISC 2024