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Small molecules, gene products and their interaction - EBI Roadshow, Pathway-Network course and diXa Training Course

Registration is now open for this five day course introducing various databases and data analysis tools to get grips with big data in the life sciences.

1 July 2013 - 5 July 2013
Netherlands
Course topics:

This course has been organised by EMBL-EBI, BiGCaT (University of Maastricht (UM)), Netherlands Bioinformatics Centre (NBIC) and the diXa project.

EMBL-EBI: Core resources for advanced analysis around: genes and genomes, proteins, small molecules, interactions, pathways.
UM: Pathways and network analysis using WikiPathways, PathVisio and Cytoscape.
diXa: Introduction to data gathering and reanalysis.

Course description:

This five day course introduces various databases and data analysis tools to get to grips with the big data in the life sciences.

The course consists of two parts: Part 1 (day 1-3) introduces the advanced uses of the gene and genomes databases, small molecule resources, the protein sequence databases, and interaction and pathway databases at the EBI (a.o. UniPROT, ENSEMBL, CHEMBL, IntAct and Reactome). This first part is provided by EMBL-EBI as an EBI roadshow.

The second part (day 4-5) focuses on real data analysis using pathway and network approaches with links to the databases covered in first part. Tools that will be used include WikiPathways, PathVisio and Cytoscape. Covered aspects include pathway creation, data preparation for analysis, pathway analysis. network analysis and network extension using target information. This second part is provided by the department of Bioinformatics-BiGCaT at Maastricht University in collaboration with the diXa FP7 project on systems biology approaches in toxicogenomics. The diXa project will provide examples about (re)use and (re)analysis of large genomics datasets.

For full course programme and registration details please look on the diXa website.
http://www.dixa-fp7.eu/dixa-training/dixa-training-agenda/dixa-maastricht-training(opens in new window)

Keywords

Bioinformatics, Systems Biology, Pharmacology, Toxicology

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