RNA-seq, 1 hp
Date: 13 - 16 March 2017
Course content
This course will cover both theoretical and hands-on exposure to current topics in RNA-seq analysis. Lectures from experts in RNA-seq and biostatistics will cover a range of cutting-edge issues in RNA quality control, transcript assembly in model and non-model organisms, differential expression analysis and downstream analysis using other types of data. An extensive case study in the computer lab will familiarize you with concepts of mapping, quality control of your RNA-seq data, de novo assembly, assembly using a reference, differential expression analysis and downstream enrichment analysis.
Topics covered will include:
Gene and isoform detection using short RNA-seq reads
Gene and isoform detection using long RNA-seq reads
Gene and isoform detection combining RNA-seq data with other data sources
Quality assessment of RNA-seq data
Differential expression analysis using RNA-seq data on multiple cells
Downstream analysis after identifying differentially expressed genes.
Contact: jessica.lindvall@scilifelab.se
Activity log