All Graduate School of Life Sciences courses

This introductory 1-day course is for people who have recently started working with molecular phylogenetic trees, either estimating their own, working in collaboration with others who estimate them, or reading articles that include trees. Further information is available.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

This course aims to introduce researchers to software and techniques for the analysis of RNA data. More information is available here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

Galaxy (http://galaxyproject.org/) is an open, web-based platform for data intensive life science research that enables non-bioinformaticians to create, run, tune, and share their own bioinformatic analyses. This introductory course will cover Galaxy's basic functionality, simple data manipulation and visualization. This event is mostly targeted at first time users. Further information is available from the course website.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book register Interest by linking here.

The aim of this course is to provide an overview of the applications, laboratory equipment and online bioinformatic portals for metabolomics research. Further information is available.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

The course will cover, at a basic level, building phylogenetic trees based on molecular sequence data. This will include the general context and uses of tree-building, choosing models of DNA and protein evolution, tree-building methods including distance, parsimony, maximum likelihood and Bayesian MCMC, and confidence in results. Examples will be worked through using MEGA. Further information can be found here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

”To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.” - R.A. Fisher

Modern genomics technologies are able to deliver an unprecedented amount of data rapidly. However, without due care and attention early in the experimental process, such data are meaningless if they cannot adequately answer the intended research question. This course is aimed at those planning high-throughput genomics experiments and highlights the kinds of questions they should be asking themselves. We we also review key statistical concepts that underpin the design process and are referred to throughout further Bioinformatics training courses.

Timetable

• 12:30 - 13:30 - Introductory Statistics (Lecture) - Mark Dunning
• 13:30 - 14:15 - Exploratory data analysis (Discussion) - Mark Dunning
• 14:30 - 15:30 - Experimental Design (Lecture) - Roslin Russell
• 15:30 - 17:00 - Experimental Design (Discussion) Roslin Russell, Mark Dunning

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

This session provides an introduction to Mass spectrometry Proteomics at the European Bioinformatics Institute (EBI). Further information for this session is available.

This session is one of a series of short introductions to EBI Services, run together, but bookable separately (see Related Courses section below).

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

This course covers state-of-the-art tools and methods for system biology using biological data of different types. The participants will learn about the basis of modelling large-scale datasets as logic networks, as well as a more detailed approach using deterministic and stochastic modelling. At the end of the course the basis of three dimensional modelling of protein-protein interaction will be covered.

The course timetable can be found here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

This course introduces researchers to a multidisciplinary approach to microarray data analysis. Attention is devoted to the design of microarray experiments, data normalization and quality control as well as to statistical analysis. Further information is available here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

This session provides an introduction to the IntAct and Reactome database systems. Also to the analysis tools for molecular interaction data available from the European Bioinformatics Institute (EBI). Further information for this session is available here.

This session is one of a series of short introductions to EBI Services, run together, but bookable separately (see Related Courses section below).

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.