UCL Systems Biology
- Our Vision
- Research Themes
- Events & Seminars
- PhD Systems Biology
- MRes Systems Biology
- Funding Opportunities
- BBSRC e-Learning for Systems Approaches
- Journal Club
- Ethical and societal aspects
Events and News
Systems Biology Journal club has restarted for the this term. First meeting 29 September >>more
Information about the BBSRC e-Learning for Systems Approaches programme now available >>more
New PhD Programme
UCL has developed a new Interdisciplinary PhD Programme in bioscience and bioengineering. The programme covers all levels of biology, from molecules through to cells and whole animal physiology, and provides training in cutting edge techniques, including bioengineering, data analysis, computational and mathematical modelling, imaging, structural biology and systems approaches >>more
Jennifer Rohn and Buzz Baum (LMCB) "Comparative RNAi screening identifies a conserved core metazoan actinome by phenotype"
Jennifer Rohn and Buzz Baum (LMCB) "Identification and characterization of a set of conserved and new regulators of cytoskeletal organization, cell morphology and migration"
Overview of the programme
SysMIC main aims and overview
The SysMIC programme will support the BBSRC’s aim of enhancing the uptake and application of systems approaches by the UK bioscience community. SysMIC “graduates” will be able to engage routinely in systems and integrative modelling. To do this SysMIC graduates must be competent in a high level of (applied) mathematics and computing – the only languages sufficiently compact and rigorous to allow unambiguous models of biological systems to be created, analysed and communicated transparently.
The aim of SysMIC is not to train biologists to become skilled mathematicians. Rather, SysMIC ‘’graduates’” will understand the relevance of mathematical concepts and procedures in systems biological contexts. In this way they will develop the skills necessary for wide-ranging interdisciplinary work and collaboration in large and diverse teams. For this reason much of the practical teaching will be implemented in mathematical software platforms that the students will be taught to use by hands-on application. Most of the mathematical “heavy lifting” will be done for them, allowing greater focus on systems concepts, context and applications. We will embed mathematical material within appropriate biological contexts and create Mathematica or MATLAB implementations and exercises, including projects at various levels of difficulty.
Page last modified on 19 jul 11 16:18