Analysis of High Throughput Sequencing RNA-Seq Data

course
training
nextflow
registration is open now - course dates: October 13th-24th , October 31st, 2025
Author

SLUBI

Published

August 1, 2025

Organism Biology research school courses

Analysis of High Throughput Sequencing RNA-Seq Data I and II (6th edition)

October 13th-24th , October 31st

High Throughput Sequencing (HTS) technologies and in particular Next Generation Sequencing (NGS) have revolutionized the way we conduct gene expression analysis. In comparison to micro-array-based methods, NGS has unleashed an almost unlimited power to perform gene expression analysis, for a similar price and with faster, more comprehensive, more efficient and more reproducible characteristics. Rapidly, the data generation rate has exceeded the analytical capabilities and data analysis has become the major bottleneck in gene expression studies.

The SLU Bioinformatics Infrastructure (SLUBI) is organizing two back-to-back courses for the Organism Biology Research School, aimed primarily at PhD students, that has the objective to help addressing this problem by (i) helping participants critically assess the challenges faced in the HTS field, (ii) developing efficient communication skill with bioinformatician, and (iii) training students in analyzing HTS data. For detailed info about the courses, please see the syllabus and preliminary schedule attached.

The aims of the courses are to:

The second course is a follow-up for attendees to apply the knowledge gained from the first course on their own data.

The courses will be conducted online only. However, if students wish so, they can organise themselves in groups and join using one of the teaching facilities available at SLU.

The maximum number of participants is 20. PhD students will be prioritised, but admission will be on a first-come, first-served basis, provided that the minimal requirements are met. Application deadline: September 13th.

To register, follow this link.

If you have any question, please contact the course leaders (nicolas.delhomme@slu.se, amrei.binzer.panchal@slu.se) or the slack channel #organism-biology-research-school-rna-seq-course of the slubi-workspace.slack.com workspace.

c