Whole Exome Sequencing and RNA-sequence data analysis

 

A three day theoretical and practical course on analysis of Next Generation Sequencing data. The course is oriented to experimentalists, end-users and PhD students who want to learn about the state-of-the-art in genomic data analysis methodologies in this fast developing area of genomics. Next generation sequencing data allows the study of biological processes at an unprecedented level of detail. However, transforming such genomic data into valuable biological information is not an easy task. Topics include quality control assessment, mapping, analysis of biases and errors, variant calling, evaluation of the impact of variants found and gene prioritization. Students will acquire the necessary skills for analyzing their own data using one of the most advanced software packages for genomic data integration and analysis. Lectures and hands-on sessions are taught in the computer room facilities of the Graduate School of Biological, Medical and Veterinary Sciences, University of Cambridge, UK, which provide the ideal environment for the organization of bioinformatic courses.

 

Organizers:

David Montaner, Ignacio Medina and Joaquin Dopazo, Computational Medicine of the Centro de Investigación Príncipe Felipe (CIPF) in Valencia, Spain

 

More information:

See the Cambridge University Training site for information on the program, the on-line pre-registration form and more details 

See the MDA courses general information page.

Date: 
Mon, 30/09/2013 (All day) - Wed, 02/10/2013 (All day)
Place: 
Graduate School of Biological, Medical and Veterinary Sciences, University of Cambridge, UK