Evidence map›Paper›PMID 26845152›Full record

ArticlePLoS computational biology2016

The Development of Computational Biology in South Africa: Successes Achieved and Lessons Learnt.

Nicola J Mulder, Alan Christoffels, Tulio de Oliveira, Junaid Gamieldien, Scott Hazelhurst, Fourie Joubert, Judit Kumuthini, Ché S Pillay, Jacky L Snoep, Özlem Tastan Bishop and 1 more

Abstract readHistorical Article
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Nicola J MulderComputational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Alan ChristoffelsSouth African National Bioinformatics Institute/Medical Research Council of South Africa Bioinformatics Unit, University of the Western Cape, Bellville, South Africa.
Tulio de OliveiraAfrica Centre for Health and Population Studies, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa.
Junaid GamieldienSouth African National Bioinformatics Institute/Medical Research Council of South Africa Bioinformatics Unit, University of the Western Cape, Bellville, South Africa.
Scott HazelhurstSchool of Electrical & Information Engineering, and Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa.
Fourie JoubertCentre for Bioinformatics and Computational Biology, University of Pretoria, Pretoria, South Africa.
Judit KumuthiniCentre for Proteomic and Genomic Research, Cape Town, South Africa.
Ché S PillaySchool of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa.
Jacky L SnoepDepartment of Biochemistry, Stellenbosch University, Stellenbosch, South Africa.
Özlem Tastan BishopResearch Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Grahamstown, South Africa.
Nicki TiffinSouth African National Bioinformatics Institute/Medical Research Council of South Africa Bioinformatics Unit, University of the Western Cape, Bellville, South Africa.

Funding

H3ABioNet: a sustainable African Bioinformatics Network for H3AfricaU41HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2012 to 2017
$14.8M
NHGRI NIH HHS U41 HG006941NHGRI NIH HHS U41HG006941
6 · The paper itself

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.

Indexed as

Computational BiologyBiotechnologyHistory, 20th CenturyHistory, 21st CenturyHumansSouth Africa

Identifiers

PMID26845152
PMCPMC4742231

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.