Date: 8 - 12 November 2021

This workshop will introduce open-source tools for creating, visualizing and analyzing 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: Proteins (proteins), IntAct Molecular Interaction Database , Reactome pathways database , Systems (systems)

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

Region: Salvador

Country: Brazil

Postcode: 40296-710

Target audience: The workshop is aimed at biologists and computer scientists in Latin American countries only (excluding Chile and Uruguay due to funding restrictions) wanting to learn the basics of network analysis and biological data cure 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 the CABANA event yet. Researchers who apply for CABANA courses should have projects in one or more of the CABANA challenge areas (sustainable crop production, communicable diseases, protection of biodiversity). Scientists from underrepresented ethnic and gender groups are especially encouraged to apply for this workshop, for example women and those with Black and/or Indigenous heritage.   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: 30


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