Jes Frellsen  

About

I am a postdoc with Anders Krogh at the Bioinformatics Center, University of Copenhagen.

My background is a B.Sc. degree in mathematics and computer science, a M.Sc. degree in Bioinformatics and a Ph.D. degree in Bioinformatics.

Research interests

My research interests include:

  • Probabilistic methods in structural biology
  • Graphical models and dynamic Bayesian networks
  • Markov chain Monte Carlo methods
  • Directional statistics

Education

2011 Ph.d. in Bioinformatics, Bioinformatics Centre, University of Copenhagen.
Thesis: Probabilistic methods in macromolecular structure prediction.
Supervisor: Thomas Hamelryck.
Co-supervisors: Jesper Ferkinghoff-Borg and Anders Krogh.
2007 M.Sc. in Bioinformatics from University of Copenhagen
(I was awarded the highest possible grade for my master thesis)
2005 B.Sc. in mathematics and computer science from University of Copenhagen
2004-2005 EAP exchange student at the University of California, Santa Cruz
(worked in Kevin Karplus's Lab group wither and spring)

Publications

Peer-reviewed

  • Olsson S, Boomsma W, Frellsen J, Bottaro S, Harder T, Ferkinghoff-Borg J, Hamelryck T (2011) Generative probabilistic models extend the scope of inferential structure determination. J Magn Reson 213(1):182-186. doi:10.1016/j.jmr.2011.08.039
  • Hamelryck T, Borg M, Paluszewski M, Paulsen, Frellsen J, Andreetta C, Boomsma W, Bottaro S, Ferkinghoff-Borg J (2010) Potentials of Mean Force for Protein Structure Prediction Vindicated, Formalized and Generalized. PLoS ONE 5:e13714. doi:10.1371/journal.pone.0013714
  • Harder T, Boomsma W, Paluszewski M, Frellsen J, Johansson KE, Hamelryck T (2010) Beyond rotamers: a generative, probabilistic model of side chains in proteins. BMC Bioinformatics 11:306. doi:10.1186/1471-2105-11-306
  • Frellsen J, Moltke I, Thiim M, Mardia KV, Ferkinghoff-Borg J, Hamelryck T (2009) A Probabilistic Model of RNA Conformational Space. PLoS Comput Biol 5(6): e1000406. doi:10.1371/journal.pcbi.1000406
  • Marstrand TT, Frellsen J, Moltke I, Thiim M, Valen E, Retelska D, Krogh A (2008) Asap: A Framework for Over-Representation Statistics for Transcription Factor Binding Sites. PLoS ONE 3(2): e1623. doi:10.1371/journal.pone.0001623

Non-peer-reviewed

  • Borg M, Mardia KV, Boomsma W, Frellsen J, Harder T, Stovgaard K, Ferkinghoff-Borg J, Røgen P, Hamelryck T (2009) A probabilistic approach to protein structure prediction: PHAISTOS in CASP9. LASR2009 - Statistical tools for challenges in bioinformatics pp 65-70. Leeds, Leeds University Press.
  • Boomsma W, Borg M, Frellsen J, Harder T, Stovgaard K, Ferkinghoff-Borg J, Krogh A, Mardia KV and Hamelryck, T (2008) PHAISTOS: protein structure prediction using a probabilistic model of local structure. Proceedings of CASP8 pp 82-83.

Presentations (talks)

  • Internal Seminar, Fred Hutchinson Cancer Research Center, USA, May 2010.
  • Computational methods for RNA analysis, Centro de Ciencias de Benaque Pedro Pascual, Spain, July 2009.
  • The 27th Leeds Annual Statistical Research Workshop (LASR 2008), University of Leeds, July 2008.
  • Statistics Seminars, University of Leeds, April 2008.
  • IMA Workshop: RNA in Biology, Bioengineering and Nanotechnology, University of Minnesota, October 2007.

Software

BARNACLE A small Python library for probabilistic sampling of RNA 3D structure. Project manager and core developer.
Mocapy++ A Dynamic Bayesian Network toolkit. Developer.
Phaistos A collection of tools for proteins structure prediction. Developer.

Teaching

Lecturer

I have been lecturing parts of the following classes at The Bioinformatics Center, University of Copenhagen:

Assistant

I have been a teaching assistant at the Institute for Mathematical Sciences, University of Copenhagen, and at the Department of Mathematics and Physics, The Royal Veterinary and Agricultural University. I have been a teaching assistant in the following classes:

Contact Information

Email: frellsen [-at-] binf.ku.dk

Phone: +45 3532 1297

Mail address:
Jes Frellsen
The Bioinformatics Centre
Department of Biology
University of Copenhagen
Ole Maaloes Vej 5
2200 Copenhagen N
Denmark