Research Informatics Training Newsletter October 2026
Sign up to new Research Informatics training events in October
Welcome to the Centre for Research Informatics' October Training Newsletter!
In this newsletter you’ll find details of all of the upcoming courses that we’re running over the next few months. You can check out our Event Overview for a full list of our courses.
If you have any questions or suggestions, please do contact us.
All the best,
The Research Informatics Team
Cambridge Centre for Research Informatics Training
Courses run by the Cambridge Centre for Research Informatics Training at the University of Cambridge encompass data science, applied statistics, machine learning, programming and data management. We are committed to supporting researchers and professionals across diverse disciplines with essential informatics education and training. We look forward to working with you in 2026-27!
Teaching online and in-person
We're continuing to deliver training in a variety of formats including live in-person and online. Keep an eye on the course title to be sure you're signing up for the type of event which suits you best and let us know if there's more we can do to offer the type of training you need. If a course is not open for booking, please register your interest.
Fresh, new look to our Booking Interface!
Take a look at our brand new Events Overview and start booking or registering your interest on upcoming courses.
Full Timetable
2nd, 9th and 16th November 2026, 09:30 to 17:30
Spatial transcriptomics analysis (IN-PERSON)
Practical introduction to the analysis of spatial transcriptomics data using Seurat and related R packages, covering preprocessing, normalisation, integration, clustering, visualisation, and inference of spatial organisation and cell-cell interactions.
6th November 2026, 09:30 to 17:30
Extracting biological information from gene lists (ONLINE LIVE TRAINING)
Practical introduction to gene set enrichment analysis, covering functional annotation resources, statistical methods for enrichment testing, web-based tools, and programmatic analysis of gene lists in R.
10th November 2026, 09:30 to 17:30
Scientific figure design (IN-PERSON)
Practical introduction to designing clear, effective and publication-ready scientific figures. Participants learn transferable principles of visual communication to improve figure clarity, accessibility and impact across publications, presentations and other research outputs.
17th November 2026, 09:30 to 17:30
Managing bioinformatics software and pipelines (IN-PERSON)
Setting up a computer for running bioinformatic analysis can be a challenging process. Most bioinformatic applications involve the use of many different software packages, which are often part of long data processing pipelines. In this course we will teach you how to overcome these challenges by using package managers and workflow management software.
27th November 2026, 09:30 to 13:00 (AM ONLY)
Quality control in sequencing experiments (ONLINE LIVE TRAINING)
Practical introduction to quality control for short-read sequencing experiments, focusing on the interpretation of quality metrics and reports generated by commonly used quality assessment tools.
30th November and 1st December 2026, 09:30 to 13:00 (AM ONLY)
Introduction to the Unix command line (ONLINE LIVE TRAINING)
Practical introduction to the Unix command line for researchers working with computational tools and large datasets. Participants learn core command-line skills for navigating filesystems, manipulating text-based data and building efficient workflows for computational research and data analysis.
2nd December 2026, 09:30 to 17:00
Generalised linear models (ONLINE LIVE TRAINING)
Practical application of generalised linear models for analysing binary, proportional, and count data, with an emphasis on interpretation, diagnostics, and robust analysis skills.
2nd, 3rd December 09:30 to 13:00 (am only) and 4th December 2026, 09:30 to 17:00
Fundamentals of Python Programming (IN-PERSON)
Beginner-friendly introduction to programming with Python, covering core programming concepts and practical problem-solving skills through hands-on exercises. Participants learn how to write simple programs, work with data and control structures, and build a foundation for further computational and research applications.
7th and 8th December 2026, 09:30 to 17:30
Data analysis in R (ONLINE LIVE TRAINING)
Practical introduction to data analysis and visualisation in R, covering core skills for working with scientific datasets through exploratory analysis, data manipulation and reproducible workflows. Participants learn to inspect, transform and analyse data, and create clear visualisations using widely used open-source tools and packages.
7th and 8th December 2026, 09:30 to 17:30
Protein Structure Prediction and Analysis (IN-PERSON)
Practical introduction to computational protein structure prediction, covering structure prediction with AlphaFold, model evaluation, visualisation, multimer prediction, ligand binding site prediction, and molecular docking.
8th December (09:30 to 17:00) and 9th December (09:30 to 13:00) 2026
Linear mixed effects models (ONLINE LIVE TRAINING)
Applied use of linear mixed effects models for analysing clustered and hierarchical data, with an emphasis on interpretation, model structure, and robust analysis skills using R.
9th and 10th December 2026, 09:30 to 17:00
Data analysis in Python (ONLINE LIVE TRAINING)
Practical introduction to data analysis and visualisation in Python, covering core skills for working with scientific datasets through exploratory analysis, data manipulation and reproducible workflows. Participants learn to inspect, transform and analyse data, and create clear visualisations using widely used open-source tools and libraries.
19th February, 26th February and 5th March 2027, 09:30 to 17:30
Core Statistics (IN-PERSON)
Classical statistical analysis techniques including hypothesis testing, linear models and power analyses, with an emphasis on practical implementation and robust analysis skills.
View Full Timetable
Registration charges
- Free for registered University of Cambridge students.
- £65/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level.
It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
- £65/day for all other academic participants from External Institutions and Charitable Organizations. These charges must be paid at registration.
- £130/day for all Industry participants. These charges must be paid at registration.
- University of Cambridge members (including students) who fail to attend a booked course or cancel less than 48 hours prior to the start date, will be charged
Please note that all non-attendees (including University of Cambridge students) who fail to attend a booked course or cancel prior to the start date, will be charged irrespectively. If you have questions concerning any of these events, please don’t hesitate to get in touch.