United Kingdom
BIIT web-tools for high-throughput data analysis from ELIXIR-Estonia
Date: 12 May 2016 @ 08:30 - 16:30
In this course we will introduce web-based, open source tools to analyse and interpret high-throughput biological data.
The main focus will be g:Profiler - a toolset for finding most significant functional groups for a given gene or protein list; MEM - a query engine allowing to mine hundreds of public gene expression datasets to find most co-expressed genes based on a query gene; and ClustVis - a web tool for visualizing clustering of multivariate data using Principal Component Analysis (PCA) plot and heatmap.
MEM and g:Profiler are ELIXIR-Estonia node services.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.''
Keywords: HDRUK
Venue: Craik-Marshall Building
City: Cambridge
Country: United Kingdom
Postcode: CB2 3AR
Organizer: University of Cambridge
Host institutions: University of Cambridge Bioinformatics Training
Target audience: Biologists and bioinformaticians who are dealing with high-throughput gene expression data or other high-throughput data and would like to learn state-of-the-art methods for mining and analysing such data., Graduate students, Postdocs and Staff members from the University of Cambridge, Institutions and other external Institutions or individuals
Event types:
- Workshops and courses
Activity log
