Week 10 - Gene Expression Analysis

This week in the lecture I will be presenting differential gene expression analysis using experimental data derived from microarrays and RNA-sequencing. I will show how the outcomes from these analyses can be interpreted with the help of some of the downstream methods we have been learning about in the second half of the course.

Whilst this is not part of the assessed content for the course it is such a widely used data modality that we wanted to make sure that you had some experience and awareness of it including where data can be sourced and the primary approaches, methods, and tools used.

It's also an opportunity to also ask more general questions about research topics, careers, and ways to further develop your interest in Bioinformatics in the future.

We hope you've enjoyed the course and that it has sparked greater interest in the potential to apply computational approaches to important biological and biomedical problems.

Lecture 10 - Gene Expression Analysis

The lecture slides for Week 10 will be available here.

The video of the lecture will be available from the GitHub video area here.

Following this course you may well want to learn more, one excellent second semester course available in Edinburgh is Next Generation Genomics.

There is an excellent relevant Chapter in our course textbook, Pevsner, for this and next week - Chapter 9 - "Analysis of Next-Generation Sequence Data"

Reading Lists & Resources

Each week we will have an accompanying reading list with some articles & web-sites for self study to support the course. You can find the course "Resource List" - here. We will continue to curate the list throughout the course especially if things pop up in the lectures and practicals that we want to add a reference or link to so do please check back in on the list from time to time.

We have generally tried to identify resources as "Essential", "Recommended" or "Further Reading" in an attempt to help you prioritise your reading during the course.

Finally a very important time to draw your attention to what you can consider the "core text" for the course, which is the excellent "Bioinformatics & Functional Genomics" Third Edition by Jonathan Pevsner. You will be pleased to know that this text-book is available free online as part of the University's subscription portfolio. You can find it right at the top of the resource list. If you have any problems accessing or using any of the above please do drop us a comment in the Discussion forum and we will try to get things resolved as soon as possible.