Informatics & Visualisation Laboratory
The focus of informatics lab is on data analytics and visualization as well as molecular visualization and systems biology, computational systems on data storage and retrieval and is the Research Unit’s primary connection to the UCT Medical School. Using data from the Medical School, as well as techniques such as machine learning, bioinformatics and visualization analytics the Informatics Lab outputs visualized gene expressions. These gene expressions are for the purpose of cancer diagnostics. Upregulated genes are then investigated as targets for drug design by the Computational GlycoEnzymology Group.
The resources associated with the informatics lab are a) a nine-screen wall allowing for analysis of multiple data set models and UHD biomolecular structures; and b) a IBM DS3512 with two expansion drawers storage attached network (SAN).
Jahansha Ashkani, & Kevin J. Naidoo Glycosyltransferase Gene Expression Profiles Classify Cancer Types and Propose Prognostic Subtypes. Scientific Reports 6, 26451, (2016).
Christos Ferles, Yannis Papanikolaou, & Kevin J. Naidoo, Denoising Autoencoder Self-Organizing Map (DASOM). Neural Networks 105, 112-131, (2018).
Tharindu Senapathi, Simon Bray, Christopher B. Barnett, Bjoern Gruning, & Kevin J. Naidoo, Biomolecular Reaction and Interaction Dynamics Global Environment (BRIDGE). Bioinformatics 35, 3508-3509, (2019).
Christopher B. Barnett, Kiyoko Aoki-Kinoshita, & Kevin J. Naidoo, The Glycome Analytics Platform: an integrative framework for glycobioinformatics. Bioinformatics 32, 3005-3011, (2016).