Centre for Research Informatics Training

Sanger (AY2627)

This page lists the training events assigned to your cohort.

Event Start date Status
Introduction to the Unix command line Fri, 2 Oct 2026 Optional
Working with LSF on the Sanger HPC Mon, 5 Oct 2026 Optional
Data analysis in R Tue, 10 Nov 2026 Optional
Reproducible research Tue, 1 Dec 2026
Fundamentals of Python Programming Wed, 2 Dec 2026 Optional
Data analysis in Python Wed, 9 Dec 2026 Optional
Core statistics Tue, 2 Feb 2027 Optional
Extending the linear model Tue, 23 Feb 2027

Additional information

Most sessions will consist of a mix of lectures, interactive practicals and self-paced computational exercises.

Access to canonical lecture recordings are available for Data analysis in R, Core statistics on request by emailing the administration team

Before each event

Please ensure that you arrive 10 minutes before the start of each session. Times and locations are available on the event-specific pages linked above.

Please review relevant prerequisites on event-specific pages before each module.

Introductions

Please introduce yourself to the trainers so that they have a better understanding of their audience and your background. You can do this in the introductions document.

Course materials

  1. Introduction to Unix command line (online course materials, slides (TBC))
  2. Working with LSF on the Sanger HPC (online course materials, slides (TBC))
  3. Data analysis in R (online course materials, slides (TBC))
  4. Reproducible research (online course materials, slides (TBC))
  5. Fundamentals of Python Programming (joining open course)
  6. Data analysis in Python (joining open course)
  7. Core statistics (online course materials, slides (TBC))
  8. Extending the linear model (GLMs online course materials | (LMMs online course materials, slides (TBC))

If joining any open courses, joining instructions and links will be provided separately.

Software

You are required to bring your own laptop (fully charged) to every session.

Please ensure that you have installed any required software prior to the course and that you have admin rights on the laptop to install additional programmes if needed. Installation instructions can be found in the course materials or using the required software links below.

Install the software following installation instructions and download the data ahead of the workshop and unzip it to your Desktop. You should end up with a folder named data-shell on your Desktop.

Install the software following installation instructions and download the data ahead of the workshop to your desktop. DO NOT UNZIP the file. You should end up with a zipped file on your Desktop.

Required for the Data analysis in R and Core statistics modules. Install the software following installation instructions.

Ensure that you have R/Studio and git installed on your laptop following the instructions links above. Please ensure that you have a GitHub account and remember to bring your authentication device (fully charged phone) that you used to set up 2-Factor Authentication.

Extending the linear model

Ensure that you have R/Studio installed on your laptop following the instructions links above.

Feedback survey

Please give us feedback after each module! This will help us shape future iterations of the course.

  1. Introduction to Unix command line
  2. Working with LSF on the Sanger HPC
  3. Data analysis in R
  4. Reproducible research
  5. Fundamentals of Python Programming (feedback link on open course documentation)
  6. Data analysis in Python (feedback link on open course documentation)
  7. Core statistics
  8. Extending the linear model

Looking for additional training?

Sign up to our mailing list to get notification of upcoming courses.

Timetable of the upcoming CRIT courses.

Information updated 2026-09-03