{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T15:15:35Z","timestamp":1777043735532,"version":"3.51.4"},"reference-count":33,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T00:00:00Z","timestamp":1774396800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,4,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Building and sustaining High-Performance Computing (HPC) infrastructure for bioinformatics research in resource-limited settings presents significant technical, financial and operational challenges. Institutions in low-and middle-income regions often face constraints such as limited technical expertise, unstable infrastructure and restricted funding which can hinder the deployment of large-scale computational platforms necessary for modern genomics and bioinformatics analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We present a scalable and modular HPC framework developed at the Uganda Virus Research Institute (UVRI) to support large-scale genomics and other omics data analyses in resource-limited settings. The framework integrates open-source HPC management tools, infrastructure automation, and reproducible configuration management to enable reliable deployment and maintenance. Optimized storage and networking configurations combined with a phased capacity-building strategy support high-throughput genomic workflows while strengthening local technical expertise. From our implementation experience, we derive ten practical design and operational rules that provide a transferable methodology for establishing and sustaining in-house HPC infrastructure. These rules emphasize strategic investment in human capacity, structured planning, leveraging collaborations, adoption of open-source technologies and service management practices to improve operational resilience and long-term sustainability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btag149","type":"journal-article","created":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T12:21:54Z","timestamp":1774268514000},"source":"Crossref","is-referenced-by-count":0,"title":["A scalable HPC framework for bioinformatics in resource-limited settings: design principles, implementation, and sustainability from the UVRI experience"],"prefix":"10.1093","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5274-4624","authenticated-orcid":false,"given":"Edward","family":"Lukyamuzi","sequence":"first","affiliation":[{"name":"Uganda Virus Research Institute (UVRI) Bioinformatics & Computational Biology (BCB), , P.O. 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Box 49 Entebbe,","place":["Uganda"]},{"name":"Open Data Science Platform (eLwazi ODSP) for the Data Science for Health Discovery and Innovation in Africa (DS-I Africa)"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5962-151X","authenticated-orcid":false,"given":"Ronald","family":"Galiwango","sequence":"additional","affiliation":[{"name":"Open Data Science Platform (eLwazi ODSP) for the Data Science for Health Discovery and Innovation in Africa (DS-I Africa)"},{"name":"The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, Makerere University , P.O Box 22418, Kampala,","place":["Uganda"]}]},{"given":"Grace","family":"Kebirungi","sequence":"additional","affiliation":[{"name":"Open Data Science Platform (eLwazi ODSP) for the Data Science for Health Discovery and Innovation in Africa (DS-I Africa)"},{"name":"The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, Makerere University , P.O Box 22418, Kampala,","place":["Uganda"]}]},{"given":"Atwine","family":"Mugume","sequence":"additional","affiliation":[{"name":"Open Data Science Platform (eLwazi ODSP) for the Data Science for Health Discovery and Innovation in Africa (DS-I Africa)"},{"name":"The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, Makerere University , P.O Box 22418, Kampala,","place":["Uganda"]}]},{"given":"Mike","family":"Nsubuga","sequence":"additional","affiliation":[{"name":"Open Data Science Platform (eLwazi ODSP) for the Data Science for Health Discovery and Innovation in Africa (DS-I Africa)"},{"name":"The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, Makerere University , P.O Box 22418, Kampala,","place":["Uganda"]}]},{"given":"Suresh","family":"Maslamoney","sequence":"additional","affiliation":[{"name":"Open Data Science Platform (eLwazi ODSP) for the Data Science for Health Discovery and Innovation in Africa (DS-I Africa)"},{"name":"Computational Biology Division, Department of Integrative Biomedical Sciences, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town , Cape Town 7925,","place":["South Africa"]}]},{"given":"Sumir","family":"Panji","sequence":"additional","affiliation":[{"name":"Open Data Science Platform (eLwazi ODSP) for the Data Science for Health Discovery and Innovation in Africa (DS-I Africa)"},{"name":"Computational Biology Division, Department of Integrative Biomedical Sciences, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town , Cape Town 7925,","place":["South Africa"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4905-0941","authenticated-orcid":false,"given":"Nicola J","family":"Mulder","sequence":"additional","affiliation":[{"name":"Open Data Science Platform (eLwazi ODSP) for the Data Science for Health Discovery and Innovation in Africa (DS-I Africa)"},{"name":"Computational Biology Division, Department of Integrative Biomedical Sciences, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town , Cape Town 7925,","place":["South Africa"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1685-9234","authenticated-orcid":false,"given":"Daudi","family":"Jjingo","sequence":"additional","affiliation":[{"name":"Open Data Science Platform (eLwazi ODSP) for the Data Science for Health Discovery and Innovation in Africa (DS-I Africa)"},{"name":"The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, Makerere University , P.O Box 22418, Kampala,","place":["Uganda"]}]},{"given":"Jonathan","family":"Kayondo","sequence":"additional","affiliation":[{"name":"Uganda Virus Research Institute (UVRI) Bioinformatics & Computational Biology (BCB), , P.O. 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