Introduction to RNA-seq data analysis course
In this 17-hour course, participants will learn how to design, perform, and analyse an RNA-seq experiment. The course will cover the basic concepts of library preparation and sequencing, and the key aspects of an RNA-seq data analysis pipeline, focusing on gene expression quantification and differential expression analyses. Participants will also learn how to assemble a transcriptome de novo.
Participants will get the chance to work hands-on with real datasets, using different bioinformatic tools. The aim of the course is to provide researchers with the necessary resources to understand and carry out a basic RNA-seq pipeline to study gene expression.
Number of places available: 18.
Instructors: Dr. Alejandra Perina and Antón Vizcaíno.
Target audience and requirements
Master students, early career researchers (pre-docs and post-docs), or senior researchers, either from Industry or Academia, interested in RNA-seq. Please note that this is an introductory course and is not intended for researchers with experience in RNA-seq data analysis.
Basic skills in high-throughput sequencing are required. Researchers who are not familiar with high-throughput sequencing might want to consider signing up first to our introductory course. Basic use of UNIX-based command line is desirable.
Hands-on work will be performed in UNIX environments (Linux, Mac).
All participants should bring and use their own laptops.