Connecting Nutrition and Health
This workshop looks at the integration of omics data, with a particular focus in the fields of health and nutrition as well as environmental factors influencing health.
This workshop looks at
Provide an overview of the main tools and resources for the integration of multiple -omics data types as well as interpretation and modelling. This will be delivered through keynote lectures in the form of case studies, which will not only detail the cross-disciplinary nature of the research showcased and its impact, but will also highlight experimental strategies and challenges. The course will additionally have a series of short theory lectures followed by directed hands-on exercises.
• Learn how to explore, including visualising, datasets to inform data analysis
• Learn how to model data to interpret omics data and test to refine the model
• Understand the challenges and data analysis strategies using metabolomics data as an example
• Learn statistical approaches to omics data using R
• Understand how to integrate data types using RNAseq and metabolomics data as an example
• Appreciate the breadth of research using multiple omics data types through presentation of case studies
This course is aimed at advanced
FAHA are supporting this course by providing a limited number of full bursaries to PhD students and PostDoctoral researchers from the Norwich Research Park. Details available from firstname.lastname@example.org.
Registration deadline: 15 January 2017
Participation: First come, first served