ANNOUNCEMENT / REMINDER (Last days to decide to apply) Applications for GTDA16 - Genomic and Transcriptomic Data Analysis with Francisco García and Alejandro Alemán are open. Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. This is a relatively short but very effective way of providing skills in NGS data analysis using online tools. Target audience The course is oriented to experimentalists, end-users and graduate students who want to learn about state-of-the-art data analysis methodologies in this fast developing area. Students will acquire the necessary skills for analysing their own data using known software packages. Description Course Description This is a 3 day long theoretical and practical course on genomic data analysis. Questions such as How can I find the causative mutation of the disease in this family? What pathways are activated in my RNA-seq experiment? are becoming more frequent as Next Generation Sequencing (NGS) technologies are increasingly used in the laboratory. This activity has been designed to provide the researchers with the skills and tools to address these questions and many other ones related. The whole course is composed of two group of sessions that focus on the analysis of Genomic variation and Transcriptomics of Next Generation Sequencing Data. The genomics sessions review the different NGS technologies and their applications as well as the computational requirements of NGS-based projects. Following an introduction to NGS of genomes, exomes and panels, attendants will learn about NGS data quality issues, data pre-processing, how to compare sequenced reads with a reference genome and how to visualize the results in a genomic context. Then, the main aspects of genomic variant annotation, detection and prioritization of candidate variants will be covered. State-of-the-art software to assist in gene prioritization process will be used. Finally, NGS in the clinic will be reviewed with the use of panels of genes for precision diagnostic and the management of variants of uncertain effect. The transcriptomics sessions is devoted to transcriptomic studies (RNA-seq and miRNA-seq). After an introduction to NGS of transcriptomes, the attendants will learn to perform all the preprocessing steps to convert NGS reads into gene expression measurements. Then, gene expression data will be used to determine differential expression, to cluster expression patterns, or for building predictors. Functional profiling methodologies will be used to interpret the results according to gene ontology enrichment, network analysis, etc. Finally, sophisticated methods for pathway analysis of transcriptome profiles will be demonstrated. The Babelomics suite, a well-known package of gene expression analysis, will be used to illustrate. By the end of the course, participants will have acquired skills to interpret NGS data and to use multiple software tools for genetic variant detection and for transcriptomic studies. More details at the GTPB website http://gtpb.igc.gulbenkian.pt/bicourses/GTDA16/ Best wishes Pedro Fernandes -- Pedro Fernandes GTPB Coordinator Instituto Gulbenkian de Ciência Apartado 14 2781-901 OEIRAS PORTUGAL Tel +351 21 4407912 http://gtpb.igc.gulbenkian.pt _______________________________________________ GTPB mailing list GTPB@igc.gulbenkian.pt https://lists.igc.gulbenkian.pt/mailman/listinfo/gtpb