Phylogenetic Analysis of Pathways
Metabolic pathways and enzymatic networks can be very complicated and hard to analyse with normal methods. But all networks, however complex they may be, evolved from easier pathways that can still be found nowadays in “lower” organisms. With the immense efforts to sequence virtually all known species on this planet, we are able to reconstruct the evolution of proteins as parts of pathways and other networks and thus find out, which parts may be more important than others.
We develop a method to perform such phylogenetic analyses on arbitrary pathways or networks. With this method, we analyse pathways like the NAD salvage pathway or parts of the notoriously complicated mTOR network.
In addition, we look into plastid phosphate transporter.
I also work on different other projects.
Developing and Deploying a webservice to integrate research data into mathematical models. The webservice SBMLmod was co-developed by me and others and I am responsible for deployment.
Transcriptome analysis of non-model organisms. Assembly (genome guided or de novo) and differential expression analysis.
Simulation and analysis of time-dependent expression data.
2014 – 2018 Stipendiat innen biotechnology/bioinformatics ved UiT
2010 – 2013 M.Sc. i Biokjemi og molekylærbiologi ved Universitetet i Kiel, DE; jeg var et semester ved UiT
2007 – 2010 B.Sc. i Biokjemi og molekylærbiologi ved Universitetet i Kiel, DE
I taught in the laboratory and seminars of the bachelor courses "Introduction to cell biology" and "Introduction to microbiology" (both MBI-1001). Also gave lectures and seminars for the master and PhD course "Environmental molecular genetics" (BIO-3018/BIO-8018).
In addition, I helped at a Python course for biologists at the University of Sheffield, UK.