Analysing RNA-seq data
12-13 December 2013
Trainers: Mar Gonzalez-Porta & Gabriela Rustici
Chris Lamb Training Suite,
The Genome Analysis Centre (TGAC)
Norwich Research Park
Norwich, NR4 7UH, UK
REGISTER HERE Deadline 10th November
Due to anticipated high demand, please note that places will be allocated on merit. Accepted participants will be informed shortly after the closing date. The participation fee is £60.
This course will cover data analysis of RNA-seq experiments combining lectures and practical exercises. The lectures will give insight into how biological knowledge can be generated from RNA-seq experiments and illustrate different ways of analyzing 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. In more detail, the course will cover the following topics: alignment, data handling and visualisation, data quality assessment, differential expression and statistical analysis, using Bowtie, Tophat and R/Bioconductor.
- To develop participants’ familiarity with advanced RNA-seq data analysis methodologies
- To provide participants with hands-on training on the latest analytical approaches and statistical analysis of RNA-seq data
This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply RNA sequencing and bioinformatics methods in their research. Familiarity with the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor.
Click here to download the programme.