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 bioinformatics, mathematical and computational biology to advanced undergraduate and postgraduate students, postdoctoral researchers and others working in the fields of biology, mathematics, statistics, computer science, information technology, complex systems analysis, and 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.
A Software Carpentry with R Bootcamp is planned to be held from 28-29 June 2018 independently before the Winter School. Visit the workshop web site for more information about the workshop and ticketing https://bio-swc-bne.github.io/2018-06-28-uqws/.
Also, a special Genomics Virtual Laboratory training workshop will be run during the Winter School in the afternoon of Wednesday 4 July 2018. The workshop is intended for bench scientists, and no previous informatics experience is needed. This workshop is free to those registrants who registered to attend full 5-day of the Winter School and is limited to 36 places only. Please go to the Winter School 2018 Registration page for more information on how to register for this workshop.