2014 Winter School in Mathematical and Computational Biology

Mathematical, statistical and computational techniques are increasingly being applied to discover, analyse and simulate the structures and processes of

schedule Date & time
Date/time
7 Jul 2014 1:00am - 11 Jul 2014 1:00am

Content navigation

Description

Image

Mathematical, statistical and computational techniques are increasingly being applied to discover, analyse and simulate the structures and processes of biological systems. Gene regulation, protein folding and localisation, macromolecular assembly, tissue and organ development, organismal behaviour and ecosystem dynamics are among the important processes susceptible to mathematical description, modelling and simulation. A broad interface exists between computational bioscience and bioinformatics, the development and application of algorithms, software tools, databases and technologies to manage and extract knowledge from biological data.

The series of winter schools is designed to introduce mathematical and computational biology and bioinformatics to advanced undergraduate and postgraduate students, postdoctoral researchers and others working in the fields of mathematics, statistics, computer science, information technology, complex systems analysis, and biological, chemical and medical sciences and engineering.

Winter School is structured to present one important topic each day. Each day will consist of a mixture of extended lectures, software demos, and interactive discussions. Our lecturers, many of whom are leading national and international authorities, have been selected for their ability to make their topic accessible to and exciting for a non-specialist audience. Presentations each day will range from introductory to advanced, and will focus on both mathematical and biological issues.

TOPICS

- Next generation sequencing & bioinformatics
- Modelling from high-throughput bio-data
- Big data, statistics and applications
- Molecular phylogenetics

For more information, including registration, please see website

Location

Queensland Bioscience Precinct, The University of Queensland