Professor Winston Hide Bsc MA PhD ASSAF win hide

Professor of Computational Biology

Department of Neuroscience
Sheffield Institute of Translational Neuroscience
University of Sheffield
Room B37
385a Glossop Road
S10 2HQ

Telephone: +44 (0) 114 2222233

Secretary: Rebecca Crossland
Tel: +44 (0) 114 2222261


Professor Hide graduated in Zoology with an Upper Second Honours from the University of Wales (Cardiff) in 1981. He attended graduate school at the Temple University, Philadelphia and graduated with a PhD in molecular genetics in 1991.

In 1992 he performed post doctoral training with Wen Hsuing-Li at the University of Texas, Houston, where he published his first Nature paper and in 1993 went on to train with David Pawson at the Smithsonian Institution National Natural History Museum, in 1994 with Richard Gibbs at the Baylor Human Genome Centre, Houston, and with Dan Davison at the University of Houston. In 1995 he gained industrial experience in Silicon Valley at MasPar Computer corporation as Director of Genomics.

In 1996 Professor Hide founded the South African National Bioinformatics Institute at the University of Western Cape, South Africa and was appointed Professor in 1999.
In 2007, he became visiting Professor of Bioinformatics at Harvard School of Public Health, and won the Oppenheimer Foundation Distinguished Sabbatical Research Fellowship.
In 2008, Hide was the subject of a directed search and became an associate professor at the Department of Biostatistics at Harvard School of Public Health. Also, in 2008 Hide founded the Harvard School of Public Health bioinformatics Core and became Director of the Harvard Stem Cell Institute Center for Stem Cell Bioinformatics.
In 2014, Hide accepted a Chair, and became Professor of Computational Biology, at the Sheffield Institute for Translational Neurosciences within the Department of Neuroscience at the University of Sheffield.

Hide has been awarded the National President’s Award for research in 1998, was elected to membership of the Academy of Science of South Africa in 2007 and also in 2007, won the Oppenheimer Foundation Distinguished Sabbatical Research Fellowship . In 2011, he was the first recipient of the International Society for Computational Biology award for Outstanding Achievement - in recognition of his work for the development of computational biology and bioinformatics in Africa.

Aug 2014 - present
University of Sheffield
Chair of Computational Biology

Aug 2014 - present
Harvard School of Public Health
Adjunct Professor of Bioinformatics and Computational Biology

2008 - 2014
Harvard School of Public Health
Associate Professor of Bioinformatics and Computational Biology

2010 - present
Harvard Stem Cell Institute
Director, HSCI Center for Stem Cell Bioinformatics

1996 - 2008
University of Western Cape
Professor of Bioinformatics and Computational Biology and Director of the South African National Bioinformatics Institute

1996 - 2008
University of Western Cape
Professor of Bioinformatics and Computational Biology and Director of the South African National Bioinformatics Institute

Research Interests

My group performs disease gene discovery in disease systems using a combination of evolutionary and computational biology, systems biology, and data integration. By using these approaches I address questions such (a) development of standardized reference systems to integrate omics for cell biology (b) understanding of the evolution of pathway utilization in disease progression (c) discovery of the regulation and interaction of genes that drive complex diseases and response to infection. I specialize in bringing together collaboratories to solve complex problems. For this project, I am especially excited to apply our novel methods for the integration of gene expression studies and methylation events to determine the key pathways that are contributing to the ability for children to have a stronger response to infection and sepsis than adults. I will be pleased to bring to bear our extensive expertise in gene expression, regulation of gene expression by methylation, and network biology to provide appropriate expertise and tools to provide the system biology analysis, management, integration and interpretation of array data, relevant assays as well as to with the team and Dr. Kobzik to determine key molecular events highlighted by molecular interactions and pathway activities and their corresponding drugable profiles in close collaboration with the Harvard team.

Our software

Selected Publications

International Glossina Genome Initiative, “Genome sequence of the tsetse fly (Glossina morsitans): vector of African trypanosomiasis.,” Science, vol. 344, no. 6182, pp. 380–386, Apr. 2014.

E. Dimont, O. Hofmann, S. J. Ho Sui, A. R. R. Forrest, H. Kawaji, the FANTOM Consortium, and W. Hide, “CAGExploreR: an R package for the analysis and visualization of promoter dynamics across multiple experiments.,” Bioinformatics, Mar. 2014.

FANTOM Consortium and the RIKEN PMI and CLST (DGT), “A promoter-level mammalian expression atlas.,” Nature, vol. 507, no. 7493, pp. 462–470, Mar. 2014.

K. L. Kathrein, A. Barton, Z. Gitlin, Y.-H. Huang, T. P. Ward, O. Hofmann, A. DiBiase, A. Song, W. Hide, Y. Zhou, and L. I. Zon, “A network of epigenetic regulators guides developmental haematopoiesis in vivo.,” Nature Cell Biology, vol. 15, no. 12, pp. 1516–1525, Dec. 2013.

C. J. Sandberg, G. Altschuler, J. Jeong, K. K. Strømme, B. Stangeland, W. Murrell, U.-H. Grasmo-Wendler, O. Myklebost, E. Helseth, E. O. Vik-Mo, W. Hide, and I. A. Langmoen, “Comparison of glioma stem cells to neural stem cells from the adult human brain identifies dysregulated Wnt- signaling and a fingerprint associated with clinical outcome,” Exp Cell Res, vol. 319, no. 14, pp. 2230–2243, Aug. 2013.

G. M. Altschuler, O. Hofmann, I. Kalatskaya, S. J. Ho Sui, A. V. Krivtsov, S. A. Armstrong, L. Stein, and W. A. Hide, “Pathprinting: An integrative approach to understand the functional basis of disease.,” Genome Medicine, vol. 5, no. 7, p. 68, Jul. 2013.

A. Lal, M. P. Thomas, G. Altschuler, F. Navarro, E. O'Day, X. L. Li, C. Concepcion, Y.-C. Han, J. Thiery, D. K. Rajani, A. Deutsch, O. Hofmann, A. Ventura, W. Hide, and J. Lieberman, “Capture of microRNA-bound mRNAs identifies the tumor suppressor miR-34a as a regulator of growth factor signaling.,” PLoS Genet, vol. 7, no. 11, pp. e1002363–e1002363, Nov. 2011.

A. Lal, F. Navarro, C. A. Maher, L. E. Maliszewski, N. Yan, E. O'Day, D. Chowdhury, D. M. Dykxhoorn, P. Tsai, O. Hofmann, K. G. Becker, M. Gorospe, W. Hide, and J. Lieberman, “miR-24 Inhibits cell proliferation by targeting E2F2, MYC, and other cell-cycle genes via binding to ‘seedless’ 3'UTR microRNA recognition elements.,” Mol Cell, vol. 35, no. 5, pp. 610–625, Sep. 2009.

N. Tiffin, E. Adie, F. Turner, H. G. Brunner, M. A. van Driel, M. Oti, N. Lopez-Bigas, C. Ouzounis, C. Perez-Iratxeta, M. A. Andrade-Navarro, A. Adeyemo, M. E. Patti, C. A. M. Semple, and W. Hide, “Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.,” Nucleic Acids Res, vol. 34, no. 10, pp. 3067–3081, 2006.

J. Kelso, J. Visagie, G. Theiler, A. Christoffels, S. Bardien, D. Smedley, D. Otgaar, G. Greyling, C. V. Jongeneel, M. I. McCarthy, T. Hide, and W. Hide, “eVOC: a controlled vocabulary for unifying gene expression data.,” Genome Res, vol. 13, no. 6, pp. 1222–1230, Jun. 2003.