RNA-seq Data Analysis (Virtual Course)
RNA sequencing (RNA-seq) is quickly becoming the method of choice for transcriptome profiling. Nevertheless, it is a non-trivial task to transform the vast amount of data obtained with high-throughput sequencers into useful information. Thus, RNA-seq data analysis is still a major bottleneck for most researchers in this field. The ability of correctly interpreting RNA-seq results, as well as knowledge on the intrinsic properties of these data, are essential to avoid incorrect experimental designs and the application of inappropriate analysis methodologies. The aim of this workshop is to familiarise researchers with RNA-seq data and to initiate them in the analysis by providing lectures and practicals on analysis methodologies. In the practicals Illumina-generated sequencing data and various widely used software programs will be used.
Edinburgh Genomics at the University of Edinburgh.
Instructors: Urmi Trivedi (Bioinformatician, Edinburgh Genomics), Frances Turner (Bioinformatician, Edinburgh Genomics) and Nathan Medd (Training & Outreach Manager, Edinburgh Genomics)