Joint EMBL/Genomatix Workshop on mRNA-Seq and ChIP-Seq Comprehensive Methods for Next Generation Sequencing Data Analysis

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 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. We will show the possibilities
for extending genome annotation, 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.