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This course provides an introduction to the methods, data and analysis of quantitative proteomics data. It goes through the background of how the data is acquired and quantitated and the process of searching the spectra against reference databases to identify them at the spectrum, peptide and protein level. We look at quality control of search results to identify problems. Data analysis is run using the MSstats package, both via the friendly Shiny interface, and then in more detail using R. Whilst there are no strict pre-requisites for this course, a familiatity with R and ggplot would be very helpful.

This course was developed in collaboration with the Le Novère lab at The Babraham Institute. The course is not currently running and is not supported, but we are leaving course materials here for reference. It provides an introduction to the concepts of modelling biological systems. It is intended for biologists who have no experience in modelling but would like to know how it might apply to their area of research. The course provides a complete background to the history of modelling and the different approaches through which a biological system can be approximated by mathematical methods. The course also provides a practical introduction to the COPASI modelling environment.

This couse provides both a biological and technical introduction to Biological Big Data. It is divided into three, day-long sessions where participants learn about the available big data resources, what they mean, and how to use them. There are extensive practicals to give time for people to familiarise themselves with the sites they are shown.