Workshop
Metatranscriptomics
Hands-on online workshop designed for HPC beginners. Learn to analyse and visualise RNA-seq data using command line tools.
About the Workshop
We start by teaching the essential tools used in High Performance Computing such as file systems and the command-line to connect to and use cloud computing for file navigation and script writing. We then explore how to clean and prepare raw RNA-seq data through quality control and rRNA removal to enable detailed taxonomic and functional profiling of the microbial community. The process culminates in the visualisation of these insights using interactive tools like Krona to facilitate interpretation.
All the software and data used in the workshop are hosted on an Amazon Machine Image (AMI). We will give you details as to how to access these instances after registration.
What you will learn
- File systems and using the command line: How to log into and navigate an HPC system
- Quality control for metatransciptomcs: An introduction to metatranscriptomics and preprocessing with sortmeRNA
- Taxonomic profiling: Analysis of community taxonomy with Metaphlan
- Functional profiling: Analysis of community function with Humann
Programme
The course takes place over two weeks and combines teaching and live coding with time spent out of the zoom room while long analyses complete. There are drop-in sessions
| Week 1 | ||
|---|---|---|
| Monday, 11 May | 10:00 - 12:00 | File systems and directories |
| Tuesday, 12 May | 10:00 - 12:00 | Using the command line |
| Wednesday, 13 May | 10:00 - 13:00 | An introduction to metatranscriptomics, quality control and preprocessing |
| Thursday, 14 May | 13:00 - 14:00 | Online troubleshooting drop-in session (optional) |
| Friday, 15 May | 10:00 - 11:30 | Review of sortmeRNA. Taxonomic profiling of communities with Metaphlan. |
| Week 2 | ||
|---|---|---|
| Monday, 18 May | 13:00 - 14:00 | Online troubleshooting drop-in session (optional) |
| Tuesday, 19 May | 10:00 - 12:00 | Functional profiling of communities with Humann |
| Wednesday, 20 May | 14:00 - 15:00 | Online troubleshooting drop-in session (optional) |
Audience
This workshop is aimed at researchers with no prior experience of the tools covered in the workshop. However, participants will need some familiarity with biological concepts such as genomes and microbiomes.
Prerequisites
To participate in this course, you will need a computer with internet access. The software and data used for analysis during the course are hosted on an Amazon Web Services (AWS) virtual machine (VM) instance.
To access your AWS instance from your personal computer, you will need a shell or terminal. This shell is available by default for Linux and Mac users but Windows users will need to install Git for Windows.
Detailed Pre-course instructions
Learner Testimonials
🗨️ I loved the practical exercises and the step‑by‑step explanations. Now I can analyse my own mosquito RNA samples and look for viral pathogens. This course was fantastic – I would definitely recommend it to fellow biologists.
🗣️ A strong opportunity to deepen, update, and expand my bioinformatics skills. (Biji Shibulal)
🗨️ I am so grateful for the opportunity to join the Metatranscriptomics workshop 2026. The instructors delivered the materials in a highly structured manner and communicated very well to the participants. They were also very helpful. My most favourite part of the course was the session on functional profiling using HumanN. The workshop is highly relevant for someone like me, who would use bioinformatics in my research. I highly recommend this workshop for anyone who will use metatranscriptomics in their research or simply curious about the world of bioinformatics! (Lay Monica, The University of Oxford)
🗣️ I have to wholeheartedly recommend this course in addition to a range of others that are part of Cloudspan as they are the greatest opportunities to learn bioinformatics to an exceptional standard with wonderful experts to guide you! Thank you so much to everyone involved because you have helped me to achieve my dream career and I will be eternally grateful for your help and support :)