Expression proteomics analysis in R (IN-PERSON)
Date: 24 - 25 June 2025
Note: This iteration of the course is currently not open for booking. However, please register your interest here to be notified when spaces become available. Your registration ensures you will be the first to know.
This workshop focuses on expression proteomics, which aims to characterise the protein diversity and abundance in a particular system.
You will learn about the bioinformatic analysis steps involved when working with these kind of data, in particular several dedicated proteomics Bioconductor packages, part of the R programming language.
We will use real-world datasets obtained from label free quantitation (LFQ) as well as tandem mass tag (TMT) mass spectrometry.
We cover the basic data structures used to store and manipulate protein abundance data, how to do quality control and filtering of the data, as well as several visualisations.
Finally, we include statistical analysis of differential abundance across sample groups (e.g. control vs. treated) and further evaluation and biological interpretation of the results via gene ontology analysis.
By the end of this workshop you should have the skills to make sense of expression proteomics data, from start to finish.
If you do not have a University of Cambridge Raven account please book or register your interest here.
Additional information
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
- Further details regarding eligibility criteria are available here.
- Guidance on visiting Cambridge and finding accommodation is available here.
Keywords: HDRUK
Venue: Craik-Marshall Building
City: Cambridge
Country: United Kingdom
Postcode: CB2 3AR
Organizer: University of Cambridge
Host institutions: University of Cambridge Bioinformatics Training
Target audience: The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to learn how to use R to analyse proteomics data., Familiarity with mass spectrometry or proteomics in general is desirable, but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.
Event types:
- Workshops and courses
Scientific topics: Bioinformatics, Biology, Data visualisation, Proteomics
Activity log