The aim of the course is to give a broad overview of the different applications of NGS with a focus on different ways to analyse the data. Presentations will discuss specifically the different choices available for data analysis, why a specific approach was selected and which alternatives are available. The course will, besides discussing and demonstrating some generally applicable tools, not include practical data analysis nor discuss in detail specific algorithms used. To get practical experience participants should, after this general introductory course, follow more specific courses (e.g. a course on RNAseq, de novo assembly, metagenomics, etc.).
This course aims at PhD students, postdocs and senior researchers who are interested in, planning, or already working with next-generation sequencing (NGS) data analysis. This year’s course builds on the experiences of the 12 previous courses but has been re-designed to cope with shifting current
demands of participants. We welcome researchers from both the genomics and bioinformatics fields.
The course is free of charge for all personnel of MGC associated institutes. Participants from the academic world but outside MGC pay € 350,00.Participants from outside the academic world pay € 700,00.
