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

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dc.contributor.authorMulder, Nicola J.en_ZA
dc.contributor.authorChristoffels, Alanen_ZA
dc.contributor.authorDe Oliveira, Tulioen_ZA
dc.contributor.authorGamieldien, Junaiden_ZA
dc.contributor.authorHazelhurst, Scotten_ZA
dc.contributor.authorJoubert, Fourieen_ZA
dc.contributor.authorKumuthini, Juditen_ZA
dc.contributor.authorPillay, Che S.en_ZA
dc.contributor.authorSnoep, Jacky L.en_ZA
dc.contributor.authorBishop, Ozlem Tastanen_ZA
dc.contributor.authorTiffin, Nickien_ZA
dc.date.accessioned2017-01-19T12:50:00Z
dc.date.available2017-01-19T12:50:00Z
dc.date.issued2016
dc.descriptionCITATION: Mulder, N. J. et al. 2016. The development of computational biology in South Africa : successes achieved and lessons learnt. PLoS Computational Biology, 12(2):e1004395, doi:10.1371/journal.pcbi.1004395.en_ZA
dc.descriptionThe original publication is available at http://journals.plos.org/ploscompbiolen_ZA
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.urihttp://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004395
dc.description.versionPublisher's versionen_ZA
dc.format.extent15 pages : illustrationsen_ZA
dc.identifier.citationMulder, N. J. et al. 2016. The development of computational biology in South Africa : successes achieved and lessons learnt. PLoS Computational Biology, 12(2):e1004395, doi:10.1371/journal.pcbi.1004395.en_ZA
dc.identifier.issn1553-7358 (online)
dc.identifier.otherdoi:10.1371/journal.pcbi.1004395
dc.identifier.urihttp://hdl.handle.net/10019.1/100494
dc.language.isoen_ZAen_ZA
dc.publisherPLoSen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectBioinformaticsen_ZA
dc.subjectComputational biology -- South Africaen_ZA
dc.subjectComputational biology -- Successes -- South Africa -- Developmenten_ZA
dc.titleThe development of computational biology in South Africa : successes achieved and lessons learnten_ZA
dc.typeArticleen_ZA
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