Date:Monday 22 - Friday 26 February 2016
Venue:King’s College London and NHIR Biomedical Research Centre - Guy’s Hospital, Great Maze Pond, London, SE1 9RT, United Kingdom
Application deadline:Monday February 22 2016
Participation:Open application with selection
The Translational Bioinformatics Workshop is an intensive five day course which is designed to review different high-throughput genomics technologies along with the methodologies and tools to analyse, integrate and interpret these different layers of information.
The course will combine theoretical lectures from international experts with highly interactive and practical sessions. This format will leave participants equipped with a solid conceptual framework of the application of genomics/bioinformatics to translational research and with methodological skills to start analysing genomics data.
This workshop is aimed at PhD students and post-doctoral researchers who are already applying or are planning to apply genomics and bioinformatics techniques to translational research projects. Academics, clinicians, and industry researchers wishing to develop an applied overview of the field are also encouraged to attend.
Workshop attendees should ideally hold a Masters level qualification and have a familiarity with basic concepts in genomics, bioinformatics or programming.
Participants will acquire knowledge and comprehension of the following items:
- Genomics and bioinformatics and the opportunities opened up by their application to translational research and patients’ healthcare
- Modern genomics technologies and the nature of the high-throughput data generated: microarrays and next-generation sequencing
- Bioinformatics and analytical principles, approaches, software and programming tools (R, Bioconductor) for the analysis of different types of data
- Analytical strategies and computational workflows
- Associations between molecular and phenotypic/clinical information to discover disease associated genes and molecular biomarkers
- Concept and methodologies for patients stratification and personalized medicine
- Application of NGS genomics approaches for analysis of cancer samples
- Statistical considerations for study design and hypothesis testing
- Data storage, analysis, integration, management and interrogation: IT technologies and challenges
A full programme for course can be found here.