We teach on several courses, including:
Much of the material we use is QMUL’s QMPlus content management system. Some of the material we use is on GitHub or provided below.
2016 Learning how to program in R
As biology is becoming a data science its increasingly important to be able to wrangle large datasets. We use variations of the following for QMUL's SBC361 (3rd year Research Methods) and Bio781p (MSc Statistics & Bioinformatics):
Evolution 1st year introduction (part of QMUL's BIO113):
2012 Swiss Bioinformatics Institute Summerschool
From 2012 Swiss Bioinformatics Institute summerschool in Bioinformatics and Population Genomics
(with Oksana Riba-Grognuz, Kate Ridout and Eyal Privman). This is largely superceded by the newer version (see above):
2006-2010 stuff from Uni Lausanne:
- Introduction to microarray analysis: Three hour practical for 3rd year Biology students. Download normalized affimterix data, blindly use Limma to find significant genes, cluster them with TMEV, conduct GO analysis of one cluster… conclude about confounding factors in experimental design.
- Introduction to BLAST: Two hour practical for 2nd year biology students. Calculate score & evalue of an alignment by hand… compare with true Blast results obtained on NCBI, see that blastp and blastn have different sensitivities. Check some new NCBI blast features.
Semester programming projects: