Welcome

…to Hannes Becher’s web pages! Hannes is a staff scientist at the Roslin Institute’s Highlander Lab. His background is in population genetics and bioinformatics.

News

  • Paper accepted at JEB: “Native-range origin predicts genomic contribution in an experimental Mimulus guttatus invasion” link to be added soon!
  • Visiting MSc student Muskan from GBU, India, has just submitted her dissertation on pangenomincs of the pigeonpea (Cajanus cajanus). Congratulations!
  • MSc student Hem Bondarwad is working on analysing per gene features in genomic data, accounting for autocorrelation along the genome, stay tuned for updates
  • MSc student Rahul Dey is extending my popgen model-based k-mer spectrum analysis tool Tetmer, soon to be posted to CRAN!

Teaching/learning

I have lead a week on population genetics in our online MSc “Data-driven breeding and genetics“. This program is being put together by colleagues at the Roslin Institute and beyond. It’s fully online, modular, so one can pick and mix and designed to be studied part time.

Power calculations are extremely useful when setting up experiments. They are increasingly asked for in grant applications. Hannes has developed some materials on how to run power calculations in R. Code examples included. See here (UoE login required).

Hannes helped develop two stats courses, Introduction to Statistics with R and Statistics for High-Dimensional Data. These are interactive Carpentries-style courses that include live coding.

K-mers

One of Hannes’ research interests are k-mer methods. Get in touch if you are interested in method development in programming. Here are some links relating to Hannes’ work:

Student Projects and Internships

Get in touch should you be interested in a student project/internship on bioinformatics, genomics, k-mers, pangenomes, genetic simulations, or statistics.