Research Informatics Training Newsletter November 2026
Sign up to new Research Informatics training events in November
Welcome to the Centre for Research Informatics' November 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 using the new interface.
Full Timetable
6 Nov 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.
10 Nov 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.
12 Nov 2026, 09:30 to 13:00 (am only)
AI prompting for biologists (in-person)
Places still available! An introductory course on AI chatbots for biologists, covering what they are, how they work, and how to use prompting effectively in research.
17 Nov 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.
25 Nov, 2 and 4 Dec 2026, 09:30 to 17:30
Bulk RNA-seq analysis (online live training)
Practical introduction to bulk RNA sequencing data analysis, covering quality control, quantification of gene expression, exploratory analysis, differential expression, visualisation, and functional interpretation of results using R and Bioconductor.
27 Nov 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.
30 Nov and 1 Dec 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.
2, 3 Dec, 09:30 to 13:00 (am only) and 4 Dec 2026, 09:30 to 17:00
Fundamentals of Python Programming (in-person)
Join the waiting list! 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.
2 Dec 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.
7 and 8 Dec 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.
8 Dec, 09:30 to 17:00 (full day) and 9 Dec 2026, 09:30 to 13:00 (am only)
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.
9 and 10 Dec 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.
19, 26 Feb and 5 Mar 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.
14 Apr 2027, 09:30 to 17:30
Survival (time-to-event) analysis (in-person)
Applied use of survival analysis techniques for analysing time-to-event data, with an emphasis on experimental design, interpretation and model quality, and visualisation.
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.