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

Show simple item record Mulder, Nicola J. Christoffels, Alan De Oliveira, Tulio Gamieldien, Junaid Hazelhurst, Scott Joubert, Fourie Kumuthini, Judit Pillay, Che S. Snoep, Jacky L. Bishop, Ozlem Tastan Tiffin, Nicki 2016-05-18T06:38:10Z 2016-05-18T06:38:10Z 2016-02-04
dc.description.abstract Bioinformatics 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.department Biochemistry en_ZA
dc.description.librarian am2016 en_ZA
dc.description.sponsorship Tulio 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.uri en_ZA
dc.identifier.citation Mulder 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.issn 1553-734X (print)
dc.identifier.issn 1553-7358 (online)
dc.identifier.other 10.1371/journal.pcbi.1004395
dc.language.iso en en_ZA
dc.publisher Public Library of Science en_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.subject Bioinformatics en_ZA
dc.subject South Africa (SA) en_ZA
dc.subject Computational biology units en_ZA
dc.subject Universities en_ZA
dc.title The development of computational biology in South Africa : successes achieved and lessons learnt en_ZA
dc.type Article en_ZA

Files in this item

This item appears in the following Collection(s)

Show simple item record