Thomas Wim Hamelryck

Thomas Wim Hamelryck

Professor


  1. 2011
  2. Published

    Efficient, non-disruptive local moves for Monte Carlo sampling of proteins

    Bottaro, S., Boomsma, Wouter, Johansson, Kristoffer Enøe, Andreetta, C., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2011, Next Generation Statistics in Biosciences: Proceedings of the 30th Leeds Annual Statistical Research (LASR) Workshop. Mardia, K. V., Gusnanto, A., Riley, A. D. & Voss, J. (eds.). University of Leeds, p. 127 1 p.

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearch

  3. Published

    Generative probabilistic models extend the scope of inferential structure determination

    Olsson, S., Boomsma, Wouter, Frellsen, J., Bottaro, S., Harder, T. P., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011, In: Journal of Magnetic Resonance. 213, 1, p. 182-186 5 p.

    Research output: Contribution to journalLetterResearchpeer-review

  4. Published

    Iterative ratio method: a formal justification for the potentials of mean force

    Valentin, J., Andreetta, C., Paluszewski, M., Borg, M., Frellsen, J., Paulsen, J., Boomsma, Wouter, Bottaro, S., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011. 1 p.

    Research output: Contribution to conferencePosterResearch

  5. 2012
  6. Published

    An Overview of Bayesian Inference and Graphical Models

    Hamelryck, Thomas Wim, 2012, Bayesian Methods in Structural Bioinformatics. Hamelryck, T., Mardia, K. & Ferkinghoff-Borg, J. (eds.). Springer, p. 3-48 46 p. (Statistics for Biology and Health, Springer).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  7. Published

    An efficient null model for conformational fluctuations in proteins

    Harder, T. P., Bottaro, S., Boomsma, Wouter, Olsson, S., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2012, In: Structure. 20, 6, p. 1028-1039 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Bayesian methods in structural bioinformatics

    Hamelryck, Thomas Wim (ed.), Mardia, K. (ed.) & Ferkinghoff-Borg, J. (ed.), 2012, Springer. 377 p. (Statistics for Biology and Health).

    Research output: Book/ReportBookResearchpeer-review

  9. Published

    Fast large-scale clustering of protein structures using Gauss integrals

    Harder, T. P., Borg, M., Boomsma, Wouter, Røgen, P. & Hamelryck, Thomas Wim, 2012, In: Bioinformatics. 28, 4, p. 510-515 6 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Mixtures of concentrated multivariate sine distributions with applications to bioinformatics

    Mardia, K. V., Kent, J. T., Zhang, Z., Taylor, C. C. & Hamelryck, Thomas Wim, 2012, In: Journal of Applied Statistics. 39, 11, p. 2475-2492 18 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published

    On the Physical Relevance and Statistical Interpretation of Knowledge-Based Potentials

    Borg, M., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2012, Bayesian Methods in Structural Bioinformatics. Hamelryck, T., Mardia, K. & Ferkinghoff-Borg, J. (eds.). Springer Publishing Company, p. 97-124 28 p. (Statistics for Biology and Health, Springer).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  12. Published

    Probabilistic models of local biomolecular structure and their applications

    Boomsma, Wouter, Frellsen, J. & Hamelryck, Thomas Wim, 2012, Bayesian methods in structural bioinformatics. Hamelryck, T., Mardia, K. & Ferkinghoff-Borg, J. (eds.). Springer, p. 233-254 22 p. (Statistics for Biology and Health, Springer).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

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