Training

This course is intended to give life scientists training in two major areas: analysis of next generation sequencing data (NGS) as well as interactions and network analysis.

The first two days are designed to familiarize participants with NGS data analysis and to provide hands-on computational experience in analysis of such data using common analytical approaches for ChIP-seq and RNA-Seq data handling.

The third day provides an introduction to the study of Protein-Protein Interaction (PPI) networks, their importance and the techniques that are used to build and analyze them. Data resources related to pathways will also be covered.

 What will I learn?  

 •      What are the fundamental principles in the analysis of RNA-Seq and ChIP-Seq data. Topics will include: data quality, alignment, data handling and visualization, region identification, transcriptome analysis and basis statistical analysis.

 •      To explore the ENCODE data, the Encyclopedia of DNA Elements, a project aimed at identifying all regions of transcription, transcription factor association, chromatin structure and histone modification in the human genome sequence.

 •      To understand what is to be found in a molecular interaction database, alternative data formats and the various tools designed to work with them.

 •      To learn how to explore reactions and pathways.