article · Bioinformatics

A scalable HPC framework for bioinformatics in resource-limited settings: design principles, implementation, and sustainability from the UVRI experience

Edward Lukyamuzi
Sumir Panji
Mike Nsubuga
Grace Kebirungi
Suresh Maslamoney
Atwine Mugume
Ronald Galiwango
Alfred Ssekagiri
Daudi Jjingo
Nicola J Mulder
Timothy Kimbowa Wamala
Jonathan Kayondo

2026Open accessMakerere University

Abstract

The design principles, automation strategies and implementation guidelines described in this work are applicable to institutions seeking to establish sustainable HPC resources for bioinformatics research in resource-constrained environments.

Research topics

Genetics, Bioinformatics, and Biomedical Research
Scientific Computing and Data Management
Genomics and Phylogenetic Studies

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

View on publisher site Record on OpenAlex

DOI: 10.1093/bioinformatics/btag149

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.

New to MARATTO™? Create a free account.