COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Computational and Systems Biology > Ecological niche modeling and infectious disease
Ecological niche modeling and infectious diseaseAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Danielle Stretch. Ecological niche modelling is a set of computational techniques that predicts complete geographic ranges of species based on environmental data from the locations in which individuals of a species have been found. This approach is widely used in evolutionary biology and ecology and particularly useful when data about species are sparse or individuals are difficult to locate, such as rare organisms or cryptic organisms. Naturally, predicting the geographic ranges of diseases, particularly newly identified or rarely reported diseases caused by ‘environmental’ microbes would be a beneficial pursuit. We will attempt to review how the techniques work, have been used, and in what ways they are appropriate to use in the context of microbial pathogens. The talk is part of the CCBI seminar series and the DTP graduate course Reviews in Computational Biology, but is open to all attendees. This talk is part of the Computational and Systems Biology series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsEnvironment on the Edge Lecture Series Cambridge Conversations in Translation Cambridge Image Analysis Seminars Organic Chemistry Cambridge Startup Weekend Computational RadiotherapyOther talksProtein Folding, Evolution and Interactions Symposium Polynomial approximation of high-dimensional functions on irregular domains What is the History of the Book? How to know Africa(s) in an age of youth hybridity Disaggregating goods Speculations about homological mirror symmetry for affine hypersurfaces Autumn Cactus & Succulent Show Computing knot Floer homology Assessing the Impact of Open IP in Emerging Technologies |