Date: 4 - 8 May 2020

This workshop will introduce open-source tools for creating, visualizing and analysing biological networks oriented towards the study of pathogens. Training will be provided on computational tools and databases such as Reactome, Cytoscape, Gephi for graph visualization and analyses, MetaFlux, Pathway Tools, BioCyc for reconstruction of pathway/genome databases using omics data, and Target Pathogen for the discovery of targets using integrative approaches. The main principles of network analysis will be covered as well as its applications to health and disease.

Keywords: CABANA

Venue: Center of Data and Knowledge Integration for Health - CIDACS, Instituto Gonçalo Moniz (IGM) - FIOCRUZ R. Mundo 121

Region: Salvador

Country: Brazil

Postcode: 40296-710

Target audience: The workshop is aimed at biologists and computer scientists wanting to learn the basics of network analysis and biological data curation for clinically relevant pathogens. Trainees should be undertaking research at postgraduate-level upwards focusing on infectious diseases. No previous experience using interaction data resources is needed. Please note this course will be taught in English, however the trainers are fluent in either Spanish/Portuguese, and can offer language support where feasible. Priority will also be given to those who have not attended a CABANA event yet. Travel fellowships are available for this course - early-stage researchers and researchers from underrepresented groups are especially encouraged to apply for CABANA travel fellowships. You can apply for travel fellowships via the course application form. Up to 30% of workshop delegates can be awarded fellowships and these are normally awarded by reimbursement after the event. Prerequisites Participants will require a basic knowledge of the Unix command line, and the R statistical packages. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Basic R concept tutorials: www.r-tutor.com/r-introduction

Capacity: 25


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