Home/ Gene Expression profiling with HTS: RNA-Seq data analysis
Gene Expression profiling with HTS: RNA-Seq data analysis
Mon, 2015-10-19 to Thu, 2015-10-22
This course is aimed at PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing (HTS) technologies and related bioinformatics methods in their research. The aim of this course is to familiarise the participants with data analysis methodologies and provide hands-on training on the latest analytical approaches.
Lectures will give insight into how biological knowledge can be generated from RNA-seq experiments and illustrate different ways of analysing such data. Practicals will consist of computer exercises that will enable the participants to apply statistical methods to the analysis of RNA-seq data under the guidance of the lecturers and teaching assistants. Participants with no UNIX/Linux experience will be provided with basic understanding of the command-line operations on the first day of the course.
The course covers data analysis of RNA-Seq experiments.
Topics will include: alignment, data handling and visualisation, region identification, differential expression, data quality assessment and statistical analysis.