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.