[BBC] [Gtpb] GTDA16 Genomic and Transcriptomic Data Analysis - Announcement/Reminder

[Pedro Fernandes]

    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

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