We’re excited to offer a new training programme in collaboration with the Glasgow Bioinformatic Core, to equip wet-lab immunologists, biologists and other life scientists with the skills and confidence to perform their own bioinformatic data analysis.
Bioinformatics is becoming ubiquitous within the life sciences and is now a potent driver of scientific development. With the increased use of bioinformatic tools to complement wet-lab research in immunology, knowing how to effectively analyse omic datasets is becoming an essential skill for all researchers.
Effective and affordable courses in this area are few and far between, which is why we’re offering a low-cost, highly rated training option designed for wet-lab life scientists and available at a discounted rate for all BSI members.
Do you want to do some omics and raise the impact of your research? Scroll down for more information and to book your place!
Are you a wet-lab scientist…
- Doing or planning on doing an omic experiment as part of a project?
- Keen to learn R and bioinformatics to advance your career, for example, after finishing a PhD or in future post-docs?
- Who needs to understand omics in the current literature?
- Who’s been on a course but is missing the practical skills and confidence to put it to use?
By signing up to this top-rated bioinformatics training programme, you will get:
- Digestible classes that take place online in the morning in order to fit around your lab schedule
- Low-cost training that is significantly more affordable than other courses – just £390 (+VAT) for BSI members
- Sought-after skills that will expand your career prospects and boost your CV
- Confidence to carry out bioinformatic data processing and analysis of your own or public datasets
- Lessons on making beautiful plots using R (e.g. PCA, heatmap, violin, MA, volcano, pathway analysis, etc.)
And much more!
Courses open
Omic data analysis and visualisation using R
- Monday 2 to Friday 13 June, running every weekday morning for two weeks - register here
Single cell and spatial omics
- Monday 2 to Friday 13 June, running every weekday afternoon for two weeks - register here
Essential command line bioinformatics and genome analysis
- Monday 14 July to Monday 18 August, running every Monday for six weeks - register here
More details coming soon. Please keep an eye on this page and our social media @britsocimm.
If you have any questions, please get in touch with us at training@immunology.org.
Which course is right for me?
The first course ‘Omic data analysis and visualisation using R’ is essential for complete beginners, covering the foundations of bioinformatics, R-coding and omic data visualisation. Additionally, we have optional extra courses depending on need, which build on specific lessons obtained in the first course. They allow for specialisation into advanced topics.
| Omic data analysis and visualisation using R | Further omics, statistics and clinical data in R* | Essential command line bioinformatics and genome analysis* | Single cell and spatial omics* | |
|---|---|---|---|---|
| Bulk RNA-seq | ESSENTIAL | USEFUL | USEFUL | |
| GeoMx | ESSENTIAL | ESSENTIAL | ||
| Proteomics | ESSENTIAL | USEFUL | ||
| Metabolomics | ESSENTIAL | USEFUL | ||
| Genomics | ESSENTIAL | ESSENTIAL | ||
| Epigenomics | ESSENTIAL | USEFUL | ESSENTIAL | |
| Single-cell RNA-sq | ESSENTIAL | USEFUL | ESSENTIAL | |
| Single-cell spatial | ESSENTIAL | USEFUL | ESSENTIAL |
*These courses are aimed at those who have carried out the entry-level course ‘Omic data analysis and visualisation using R’ or have a comparable level of experience.
What do previous attendees think?
The course has had over 2,900 attendees since 2020, with a mean rating of 9.5/10 for content and delivery, and 93% of participants were happy with the session length and pace.
“Great course! Never thought that something so complex like R could be explained in such clear and simple manner.”
“The content of the course was great and was clearly relevant to biological data analysis from start to finish. I really appreciate that each line of code and each function within the code was explained, as this has left me able to write and customise my code and plots in hundreds of ways.”
“Really enjoyed this outstanding course – allowed a complete novice (me) to become R-functional – I will continue to improve as the course tutorial structure/course materials make it easy to revise/hone skills.”
“I've been on other R courses and this was the best by far as I actually finished it feeling a lot less scared of R and omics generally!”
"I think the course was excellent. I had very little knowledge of bioinformatics at all, and I now feel I have a firm understanding of the different aspects of sequencing, data presentation and what said presentation shows."
