Computational Biology

 computational biology diagram

The Centre for Computational Biology champions a multidisciplinary approach to research and teaching in Data Sciences for Life Sciences. Our researchers link the fields of Mathematics, Statistics, and Computer Sciences to Biology and Medicine, while reaching a broad community of data scientists on campus. We lead the development of novel integrative and analytical approaches to data starting with Omics and Clinical. 

Our Data Sciences experts have partnered with scientists and healthcare professionals of Chengdu’s West China Hospital – one of China’s biggest and best hospitals – to help link innovative ‘Omics’ data with clinical information for a range of conditions. This collaborative working is vital to help transform the lives of patients, as well as understanding the cause of diseases.

Theme Lead

Professor Jean-Baptiste Cazier

Professor Jean-Baptiste Cazier

Chair of Bioinformatics

Director of the Centre for Computational Biology

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Research groups

Computational Biology
PIResearch Group
Dr Roland Arnold Bioinformatics analyses of transcription in cancer
Professor Jean-Baptiste Cazier Bioinformatics, Data Science for Life Sciences, Precision Medicine, Population Diversity
Dr Deena Gendoo Bioinformatics characterization of preclinical disease models and their applications in therapy
Professor Georgios Gkoutos Clinical Bioinformatics, health data science, precision medicine
Dr Danesh Moradigaravand Theoretical evolutionary genetics
Dr Christopher Yau Statistical machine learning and computational biology
Dr Justina Zurauskiene Computational women's health

Spotlight on COVID-19 and Leukaemia

New study describes which cancer patients are more vulnerable to COVID-19.

Lancet Oncology 21: 1309-1316 (2020). Lee LYW, JB Cazier, T Starkey, SEW Briggs, R Arnold, V Bisht, . . . UKCCMP Team. COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study. 

COVID cancer study image for Computational Biology as described below

A newly published study involving Lennard Lee and Jean-Baptiste Cazier has found that, compared to other cancers, patients with blood cancers are more vulnerable to the effects of the coronavirus pandemic. The researchers were able to determine that patients with haematological cancers, particularly older patients and those with leukaemia, had a more severe COVID-19 trajectory compared to patients with solid organ tumours.

Selected Highlights from this Research Theme

Nat Commun 11:1825 (2020). Chung PED, DMA Gendoo, R Ghanbari-Azarnier, JC Liu, Z Jiang, J Tsui, . . . E Zacksenhaus. Modeling germline mutations in pineoblastoma uncovers lysosome disruption-based therapy.

Am J Hum Genet 107:149-157 (2020). Haber M, J Nassar, MA Almarri, T Saupe, L Saag, SJ Griffith, . . . C Tyler-Smith. A Genetic History of the Near East from an aDNA Time Course Sampling Eight Points in the Past 4,000 Years.

Lancet Oncol 21:1309-1316 (2020). Lee LYW, JB Cazier, T Starkey, SEW Briggs, R Arnold, V Bisht, . . . UKCCMP Team. COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study.

Cancer Cell  38:306-307 (2020). Lee LYW, T Hill, O Topping, M Tilby, M Baker, J Greig, . . . UKBCCC- Project. Utility of COVID-19 Screening in Cancer Patients.

Front Genet 11:669 (2020). Mountford HS, P Villanueva, MA Fernandez, L Jara, Z De Barbieri, LG Carvajal-Carmona, . . . JB Cazier, DF Newbury. The Genetic Population Structure of Robinson Crusoe Island, Chile.

Sci Rep 9:17405 (2019). Althubaiti S, A Karwath, A Dallol, A Noor, SS Alkhayyat, R Alwassia, . . . GV Gkoutos, R Hoehndorf. Ontology-based prediction of cancer driver genes.

PLoS Comput Biol 15:e1006596 (2019). Gendoo DMA, RE Denroche, A Zhang, N Radulovich, GH Jang, M Lemire, . . . B Haibe-Kains. Whole genomes define concordance of matched primary, xenograft, and organoid models of pancreas cancer.

PLoS Comput Biol 14:e1006258 (2018). Moradigaravand D, M Palm, A Farewell, V Mustonen, J Warringer and L Parts. Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data.

Genome Med 9:119 (2017). Moradigaravand D, T Gouliouris, B Blane, P Naydenova, C Ludden, C Crawley, . . . SJ Peacock. Within-host evolution of Enterococcus faecium during longitudinal carriage and transition to bloodstream infection in immunocompromised patients.

BMC Bioinformatics 17:140 (2016). Zurauskiene J and C Yau. pcaReduce: hierarchical clustering of single cell transcriptional profiles.

Nat Commun 5:3756 (2014). Cazier JB, SR Rao, CM McLean, AK Walker, BJ Wright, EE Jaeger, . . . FC Hamdy. Whole-genome sequencing of bladder cancers reveals somatic CDKN1A mutations and clinicopathological associations with mutation burden.