Course description
This five day course introduces various databases and data analysis tools to get grips on 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 EBI (a.o. UniPROT, ENSEMBL, CHEMBL, IntAct and Reactome). This first part is
an EBI Roadshow hosted by UM & NBIC.
- Part 2 (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.
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