Courses and Workshops Prepared
- R programming for Life Scientists. A SciLife Lab course. 2015 (1x), 2016 (2x), 2017 (2x).
- Statistical Methods in Genetic Mapping: An R-based Course. A 4 ETCS graduate-level course. Nov-Dec 2013.
- LUPA Workshop: GWAS Analyses in Stratified Populations, Uppsala, May 2011.
- The Next-Generation Sequencing - Bioinformatics and Data Analysis (a PhD-level courses).
Courses Taught
- R programming for Life Scientists. A SciLife Lab course. 2015 (1x), 2016 (2x), 2017 (2x).
- Statistical Methods in Genetic Mapping: An R-based Course. A 4 ETCS graduate-level course. Nov-Dec 2013.
- Boolean Reasoning (lectures and labs on random forests)
- Knowledge-based Systems in Bioinformatics
Advisor/supervisor
- PhD thesis: Sharadha Sakthikumar ongoing research on the genetics of canine and human osteosarcoma and neuroblastoma (co-advisor).
- PhD thesis: Simon Forsberg. [Complex Trait Genetics: Beyond Additivity](http://Complex Trait Genetics: Beyond Additivity) (co-advisor, thesis defended 2016).
- PhD thesis: Muhammad Ahsan. Identification and evaluation of functional sequences, selective sweeps and candidate mutations within QTL regions regulating growth in chicken. (co-advisor, thesis defended in 2014).
- Masters thesis: Małgorzata Kauczynska. Random Forest-based classifiers for prediction of SLE risk from SNP microarray data. (co-supervisor, defended 2006).
- Research project: Oskar Gauffin, analysis of time-spatial data on microbehavior in the domestic dog. 2015 (ongoing work).
- Research project (within the ERASMUS European project): Jagoda Jabłońska. Development and application of novel tools for enhanced genome-wide association studies. Published in Bioinformatics, 2015, 2016.
- Research project: Andreas E. Lundberg. A tool for assembly and SNP detection using data coming from different SOLiD sequencing setups (supervisor, ongoing work).
- Research project: Simon Forsberg. An R package for assessment of mutation impact on protein function (supervisor).
- Research project: Samuel Lampa. PTMatcher, a web-based tool for predicting post-translational modifications in proteins.