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ancGWAS: a post genome-wide association study method for interaction pathway and ancestry analysis in homogeneous and admixed populations
ancGWAS: A post genome-wide association study method for analysis in homogeneous and admixed populations
ancGWAS is an algebraic graph-based centrality measure accounting for linkage disequilibrium in identifying disease sub-networks by integrating the association signal from GWAS data sets into the human protein–protein interaction (PPI) network...
African Horse Sickness Caused by Genome Reassortment and Reversion to Virulence of Live Attenuated Vaccine Viruses
African Horse Sickness Caused by Genome Reassortment and Reversion to Virulence...
African horse sickness (AHS) is a hemorrhagic viral fever of horses... We compared the whole genome sequences of 39 AHS viruses from field AHS cases to determine the source of 3 such out-breaks... Our analysis confirmed that individual outbreaks...
A Systems Level Comparison of Mycobacterium tuberculosis, Mycobacterium leprae and Mycobacterium smegmatis Based on Functional Interaction Network Analysis
A Comparison of several mycobacteria based on Functional Interaction Network Analysis
We systematically compare MTB, MLP and MSM to quantify differences between these organisms at the systems biology level and to study network biology and evolution, Journal of Bacteriology & Parasitology, 2013
Modelling the risk of airborne infectious disease using exhaled air
Modelling the risk of airborne infectious disease
We present a mathematical model that predicts the risk of airborne infectious diseases. "Modelling the risk of airborne infectious disease using exhaled air", Journal of Theoretical Biology, 2015
CBIO Tools
CBIO Tools
In the course of research done by CBIO, we develop tools that we share with the research community. Some of these tools can be found under our "Tools and Resources" section.
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Welcome to the Computational Biology Division at the University of Cape Town

Glossina Morsitans Genome
Wednesday, June 1, 2016 - 10:00

An international team, including researchers at the University of Cape Town and Yale University in the USA, has sequenced and annotated the genetic code (genome) for a representative species of the tsetse fly (Glossina morsitans), which carries the potentially fatal African trypanosomes to humans and animals in sub-Saharan Africa.

Influential Scientific Minds 2014
Wednesday, June 1, 2016 - 09:45

Six South Africa-based scientists represent Africa on a list of the world’s currently most influential scientific minds, released on 18 June by the intellectual property and science business of Thomson Reuters.

The six are Nicola Mulder and William Bond from the University of Cape Town; Stellenbosch University’s David Richardson; Guy Midgley from the South African National Biodiversity Institute; and Rachel Jewkes and Lyn Wadley from the University of the Witwatersrand.