Analysis of microarray and RNA Seq expression data using R/BioC and web tools

Many companies are facing themselves with a tsunami of big data sets. Companies often organize themselves in consortia to deal with the development of tools necessary for analysis of such data (e.g. large-scale sequencing data). However, there is also a necessity to utilize the developed pipelines in their own research setting. The aim of this one-day course is to inform companies, which do not have the expert knowledge in-house to start using the developed bio-informatics solutions directly, about technical solutions to use the developed technologies.

Date: June 30 – July 4, 2014

Target audience: Bioinformaticians; Biologists; Genomic researchers

Program: See course website

Keywords: Expression profiling; Classification; Clustering; Differential gene expression; Experimental design; Gene set testing; Interpretation of gene lists; Microarray; RNA-Seq; Normalization; Linear models; Global test; Prediction analysis of microarrays; Classification; Clustering; Functional annotation clustering; Text mining; Network analysis; Gene set enrichment

Course website: