OXFORD UNIVERSITY COMPUTING LABORATORY

Bioinformatics & Computational Biology


BA in Computer Science
BA in Mathematics & Computer Science
MSc in Computer Science, Schedule B
16 MT
Professor Jotun Hein and Dr Daniel Falush

Pre-requisites

Knowledge of elementary probability would be very helpful.

Overview

Modern molecular biology generates large amounts of data, such as sequences, structures and expression data, that needs different forms of statistical analysis and modelling to be properly interpreted. The fields of Bioinformatics and Computational Biology have this as their subject matter and there is no sharp boundary between them. Bioinformatics has an applied flavour while Computational Biology is viewed as the study of the models, statistical methodology and algorithms needed to do bioinformatics analysis. This course aims to present core topics of these fields with and emphasis on modelling and computation.

Learning Outcomes

Modern molecular biology generates large amounts of data, such as sequences, structures and expression data, that needs different forms of statistical analysis and modelling to be properly interpreted. The fields of Bioinformatics and Computational Biology have this as their subject matter and there is no sharp boundary between them. Bioinformatics has an applied flavour while Computational Biology is viewed as the study of the models, statistical methodology and algorithms needed to do bioinformatics analysis. This course aims to present core topics of these fields with and emphasis on modelling and computation.


[Oxford Spires]



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