Biological systems are complex, out of equilibrium, processes that manage to sustain life in the ever increasing entropy of the universe. Despite much of the success evolution has achieved in creating reproducible templates for life, there is still room for error at multiple levels. Any errors could lead to diseases affecting all facets of life processes: examples include an immune system turnning on its host, proteins misfolding and aggregation, or uncontrolled cell proliferation leading to tumour formation. The advent of molecular profiling and health data infrastructures have enabled large-scale modelling and data analysis, as an emerging approach to understand the nature and regulation of biological phenomena. This workshop will focus on theoretical and computational modelling approaches applied in biology, in order to gain an insight into why living systems might fail and how we can design protocols that have the potential to prevent, or correct, any failings. We will discuss a wide range of topics ranging from computational biophysics to evolutionary dynamics, from cellular regulatory networks to the analysis of multidimensional molecular profiling data.
Format & Programme:
The workshop will consist of 6 talks from invited speakers as well as a small number of contributed talks from applicants. There will also be a Poster session running throughout the day. The list of invited speakers can be found at https://qsbworkshop.github.io/qsb2018/speakers/
Link to previous edition:
The workshop will take place at King's College London, Strand Campus.
General registration will close on 31 October 2018, earlier deadlines for talk/poster applicants 15 October 2018.
Location - Strand Campus
When - 09/11/2018 (09:30-17:30)
Contact - For further information please do not hesitate to contact the organising committee - email@example.com
The workshop will run all day on 9 November 2017.
Edgar Herrera Delgado