The development of computational biology in South Africa : successes achieved and lessons learnt

dc.contributor.authorMulder, Nicola J.
dc.contributor.authorChristoffels, Alan
dc.contributor.authorDe Oliveira, Tulio
dc.contributor.authorGamieldien, Junaid
dc.contributor.authorHazelhurst, Scott
dc.contributor.authorJoubert, Fourie
dc.contributor.authorKumuthini, Judit
dc.contributor.authorPillay, Che S.
dc.contributor.authorSnoep, Jacky L.
dc.contributor.authorBishop, Ozlem Tastan
dc.contributor.authorTiffin, Nicki
dc.date.accessioned2016-05-18T06:38:10Z
dc.date.available2016-05-18T06:38:10Z
dc.date.issued2016-02-04
dc.description.abstractBioinformatics is now a critical skill in many research and commercial environments as biological data are increasing in both size and complexity. South African researchers recognized this need in the mid-1990s and responded by working with the government as well as international bodies to develop initiatives to build bioinformatics capacity in the country. Significant injections of support from these bodies provided a springboard for the establishment of computational biology units at multiple universities throughout the country, which took on teaching, basic research and support roles. Several challenges were encountered, for example with unreliability of funding, lack of skills, and lack of infrastructure. However, the bioinformatics community worked together to overcome these, and South Africa is now arguably the leading country in bioinformatics on the African continent. Here we discuss how the discipline developed in the country, highlighting the challenges, successes, and lessons learnt.en_ZA
dc.description.departmentBiochemistryen_ZA
dc.description.librarianam2016en_ZA
dc.description.sponsorshipTulio de Oliveira’s research and databases are supported by a Flagship grant from the Medical Research Council (MRC) of the Republic of South Africa (MRC-RFA-UFSP-01-2013/UKZN HIVEPI). H3ABioNet is funded by the National Institutes of Health Common Fund under grant number U41HG006941. The authors acknowledge the support of the South African Department of Science and Technology and the National Research Foundation.en_ZA
dc.description.urihttp://www.ploscompbiol.orgen_ZA
dc.identifier.citationMulder NJ, Christoffels A, de Oliveira T, Gamieldien J, Hazelhurst S, Joubert F, et al. (2016) The Development of Computational Biology in South Africa: Successes Achieved and Lessons Learnt. PLoS Comput Biol 12(2): e1004395. DOI: 10.1371/journal.pcbi.1004395.en_ZA
dc.identifier.issn1553-734X (print)
dc.identifier.issn1553-7358 (online)
dc.identifier.other10.1371/journal.pcbi.1004395
dc.identifier.urihttp://hdl.handle.net/2263/52681
dc.language.isoenen_ZA
dc.publisherPublic Library of Scienceen_ZA
dc.rights© 2016 Mulder et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_ZA
dc.subjectBioinformaticsen_ZA
dc.subjectSouth Africa (SA)en_ZA
dc.subjectComputational biology unitsen_ZA
dc.subjectUniversitiesen_ZA
dc.titleThe development of computational biology in South Africa : successes achieved and lessons learnten_ZA
dc.typeArticleen_ZA

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