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Training

The Bioinformatics Core offers courses throughout the year. Many of them are classroom-based courses delivered in collaboration with the University's Bioinformatics Training Facility, with a focus on hands-on, practical learning.

Upcoming Courses

The Bioinformatics Core members run or teach the following training courses.

Lent and Easter Terms 2025

Course Dates Venue Booking Link
Introduction to R for Biologists 9 and 10 January 2025 Bioinformatics Training Room, Craik-Marshall Building completed
Introduction to bulk RNA-seq data analysis 3, 7 and 10 February 2025 Online Book
Introduction to single-cell RNA-seq data analysis 12, 19 and 26 February 2025 Book
Hands on with fixed-effects and mixed-effects models 21 and 28 February 2025 CRUK CI (Internal) Advertisement in January, and book via registration form
Working on HPC Clusters using SLURM 24 and 25 March 2025 Bioinformatics Training Room, Craik-Marshall Building Book
Introduction to single-cell RNA-seq data analysis 27, 28 and 31 March 2025 Online Training Book CI staff will get early access to this course via email.
Bite-sized course: Introduction to R March/April 2025 CRUK CI (Internal) Advertisement in February, and email will follow with details.
Introduction to solving biological problems with Python 8 and 9 April 2025 Bioinformatics Training Room, Craik-Marshall Building Book
Introduction to R for Biologists 6 and 7 May 2025 Online Training Book
Introduction to bulk RNA-seq data analysis 21, 22 and 23 May 2025 Bioinformatics Training Room, Craik-Marshall Building Book CI staff will get early access to this course via email.
Introduction to solving biological problems with Python 10 and 11 July 2025 Online Training Book
Introduction to single-cell RNA-seq data analysis 10, 11 and 14 July 2025 Bioinformatics Training Room, Craik-Marshall Building Book CI staff will get early access to this course via email.

Clicking on the links will take you to a registration page. Courses without a booking link are not yet open for registration. These courses are generally popular so book up as early as possible. If a course is already fully booked, it is possible to add yourself to a waiting list from the booking page.

Please contact Chandra Chilamakuri for more information on our training courses.

Bioinformatics Training Facility at the Department of Genetics

Many of our courses are part of the programme run by the University of Cambridge Bioinformatics Training Facility located in the Craik-Marshall Building at the Department of Genetics.

A full listing of upcoming bioinformatics training courses available under this programme can be found using the following link.

Bioinformatics Training Facility Course Timetable

  • Registration Fees:
    • Free for registered University of Cambridge PhD students, but see non-attendance below.
    • £60 per day for all University of Cambridge staff including postdocs; these charges are recovered at the departmental or institutional level.
    • CRUK CI staff only: the institute no longer covers the cost of registration fees, these are now cross-charged to your group budget or a grant cost code (let the finance team know if you want the latter).
    • Please cancel your booking if you are unable to attend as this will free up a space for someone on the waiting list.
    • There is a penalty fee of £20 per day for non-attendance of students that will be charged to your responsible department or you personally should the department
    • Further details of the charging policy can be found here

Course Index and Materials

Here is a list of courses that the Bioinformatics Core has created or contributed to. For additional information about these courses, please contact Chandra Chilamakuri.

Introductory

Intermediate

Advanced

Summer Schools

From 2015 – 2021 we ran a hugely popular, annual Cancer Research UK Bioinformatics Summer School, offering a week-long residential training course in analysis of genomic sequencing data to CRUK-funded scientists from across the UK. The course materials for these and two Autumn/Winter Schools can be accessed via the links below.