Instituto Gulbenkian de Ciência

DMOS18 Data Management and Open Science

Course Description


In an age of increasingly complex and data-intensive, collaborative scientific practices, scandals of irreproducibility, and a growing societal ethos of transparency and accountability, a new paradigm has arisen: Open Science. In this four day long course, we will introduce to you the three organizing principles and practices that undergird this paradigm:

CPANG18 Computational PANGenomics

Course Description

Reference genomes have become central to bioinformatics approaches, and form the core of standard analyses using contemporary sequencing data. However, the use of linear reference genomes, which provide the sequence of one representative genome for a species, is increasingly becoming a limitation as the number of sequenced genomes grows. In particular, they tend to bias us away from the observation of variation in the genomes we study.

Elixir-Excelerate Workshop on Marine Metagenomics

A Practical Workshop will be held during 7-11 May 2018, in Oeiras, hosted by the Portuguese ELIXIR Node in cooperation with the nodes involved in ELIXIR-EXCELERATE Workpackage 6 “Marine Metagenomics”.

PM17 - Precision Medicine

The aim of the course is to present a complete computational pipeline for the analysis and interpretation of Next-Generation Sequencing (NGS) data such as exome sequencing or targeted panels that are commonly used in the clinic.
We will address the implementation of large-scale genomic sequencing in clinical practice and the recently developed computational strategies for the analysis of NGS data with a particular emphasis on the interpretation of the results, selection of biomarkers of drug response and afford opportunities to match therapies with the characteristics of the individual patient's tumour. 


The Global Organisation for Bioinformatics Learning, Education and Training (GOBLET) is holding its 6th annual general meeting in Oeiras, Portugal. 

More information here.

IO17 - Large-scale bioinformatics for Immuno-Oncology

Course Description:

The immuno-oncology approach leverages on the unique capability of the immune system to recognize and kill tumour cells. This action is hampered by escape mechanisms put in place by tumour cells like, for instance, the engagement immune checkpoints, i.e. inhibitory molecules that modulate the amplitude and duration of immune responses. Immunotherapies that block checkpoint molecules are amongst the most promising approaches in immuno-oncology for the enhancement of antitumour immunity. Thanks to high-throughput technologies, such as next-generation sequencing (NGS) and proteomics, we have now access to large-scale tumour data that can be used to investigate the interplay between tumour and immune cells and the role of the immune system in tumour progression and response to therapy. In this course, you will learn to use bioinformatics tools and mathematical modelling techniques operating on high-throughput tumour data, in order to extract features that can be used to characterise this complex tumour-immune cell interface, such as:

  • tumour antigens recognized by T cells
  • tumour-infiltrating immune cells
  • deregulated signalling pathways in cancer and immune cells

A fully practical, hands-on approach will ensure that the newly acquire skills can be used with a great deal of autonomy.


Subscribe to RSS - Instituto Gulbenkian de Ciência