Course Overview: This will be a short practical course on Bioinformatics for biologists, molecular biologists or young researchers working in the field of biomedical or biological sciences who are interested in learning, in a practical way, how to build and explore gene and protein networks and how to place in a relational context (i.e. in a network-based context) the lists of genes or proteins, often derived from genomic or proteomic analyses. The course will be held for two days in Cape Town (South Africa) at the University of Cape Town Medical School, hosted by the Computational Biology Group (CBIO). It will be given by Professor Dr. Javier De Las Rivas, from the University of Salamanca and the Spanish National Research Council (USAL/CSIC, Spain).

Keywords: Protein analysis, Systems Biology, Gene Networks

Skill level of training: Beginner 

Language: English

Credential awarded:  no credential

Type of training: face-to-face / in person

Syllabus and tools:

The course will be divided in four sessions with the following topics: 
(1) Bioinformatics tools for functional enrichment analysis; 
(2) Construction of gene functional networks; 
(3) Protein interaction networks; 
(4) Construction and analysis of gene/protein networks.

Pre-requisites: The students attending do not need to know programming, but should be familiar with working on computers and keen to learn how to use Bioinformatics tools and concepts.

Dates:    Monday 23rd and Tuesday 24th of November 2015 
Venue:   Health Teaching Labs 1-2, Basement of Anatomy Building, UCT Medical School, Anzio Rd, Observatory, Cape Town, South Africa
Time:     9:30 to 16:30

Lecturer: Dr. Javier De Las Rivas
Bioinformatics and Functional Genomics Group
Cancer Research Center (CiC-IBMCC, CSIC/USAL)
University of Salamanca, Spain
See scientific profile at:

Training Materials Availability:

Training materials for this course are available as a single downloadable archive here: Should you re-use any of these materials, please ensure that both the author/s of the material AND H3ABioNet are clearly credited.