***THIS COURSE HAS BEEN CANCELLED***
This course is organised in cooperation with Genomatix.
Registration is now open for this course. Please register here.
Why you should apply
The large amounts of data derived from next generation sequencing projects makes efficient data mining strategies necessary. In the course you will learn strategies for the analysis of mRNA-Seq data as well as analysis pipelines for ChIP-Seq. These strategies include:
high efficiency mapping of raw sequence tags
clustering of sequence tags
data integration into up to date genome annotation
down stream analysis of tag covered regions
The course is based on real world examples. In the course you will use the Genomatix system for data analysis, which provides a graphical user interface. We will show the possibilities for comparative expression analysis, splice variant detection and discovery of new transcriptional units. In addition the down stream biological mining of enriched regions from ChIP-Seq will be demonstrated. This will focus on transcription factor (TF) analysis in terms of TF overrepresentation in enriched regions and the discovery of functional motifs and patterns of TFs. New insights into biological mechanisms can be gained by overlaying data from different experiment types.