Bioinformatics (and how to learn it)

Introducing the wonderful world of bioinformatics


Research in biology is increasingly dependent on computational approaches. However, the world of Computational Biology is big and confusing. This course aims to provide an introduction and map to that world, explaning what tools and techniques are out there and what you'll need to do to take advantage of them.

Next session: February 2018

Instructors

  • Matthew Hartley

Audience

The intended audience includes anyone interested in what Bioinformatics has to offer their research. We particularly welcome those who are completely new to the field.

Overview

Over the two sessions of this course, you'll learn about what's involved in modern bioinformatics. We'll explore the skills that are required in order to understand, plan and carry out bioinformatic analyses, manage data and interpret results. We'll also look at the resources you might need, as well as the things that can go wrong during bioinformatics. By the end of the course, you should be able to understand which aspects of Bioinformatics might be beneficial to your research, what skills you'll need to acquire to actually realise that benefit, and realistic timescales for learning those skills. The course will include a mixture of taught and practical material.

Schedule

Day 1
9:30 Start
11:00 Coffee break
13:00 End
Day 2
9:30 Start
11:00 Coffee break
13:00 End

Learning outcomes

By the end of the course you should be able to:

Pre-requisites

None.

Full course syllabus

Course materials

Course book