Anders Krogh

Last updated
Anders Krogh
Nationality Danish
Alma mater University of Copenhagen
Occupation Professor
Known for hidden Markov models, neural networks
Awards ISCB Fellow (2017)
Scientific career
Fields Bioinformatics
Institutions University of Copenhagen
Website people.binf.ku.dk/krogh

Anders Krogh is a bioinformatician at the University of Copenhagen, [1] where he leads the university's bioinformatics center. He is known for his pioneering work on the use of hidden Markov models in bioinformatics (together with David Haussler), [2] [3] [4] and is co-author of a widely used textbook in bioinformatics. [5] In addition, he also co-authored one of the early textbooks on neural networks. [6] His current research interests include promoter analysis, [7] [8] [9] non-coding RNA, [10] [11] [12] gene prediction [13] [14] [15] and protein structure prediction. [16] [17] [18] [19] [20]

Contents

In 2017, Krogh was elected a Fellow of the International Society for Computational Biology (ISCB). [21]

See also

Related Research Articles

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References

  1. ↑ "User:Krogh - BINF - Bioinformatics Centre". Archived from the original on 2011-09-02. Retrieved 2011-04-14. Professor Anders Krogh, The Bioinformatics Centre, Department of Molecuar Biology, University of Copenhagen
  2. ↑ Krogh A, Brown M, Mian IS, Sjölander K, Haussler D (1994). "Hidden Markov models in computational biology. Applications to protein modeling". J. Mol. Biol. 235 (5): 1501–31. doi:10.1006/jmbi.1994.1104. PMID   8107089.
  3. ↑ Krogh A, Mian IS, Haussler D (1994). "A hidden Markov model that finds genes in E. coli DNA". Nucleic Acids Res. 22 (22): 4768–78. doi:10.1093/nar/22.22.4768. PMC   308529 . PMID   7984429.
  4. ↑ Sjölander K, Karplus K, Brown M, et al. (1996). "Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology". Comput. Appl. Biosci. 12 (4): 327–45. doi: 10.1093/bioinformatics/12.4.327 . PMID   8902360.
  5. ↑ Durbin, Richard M.; Eddy, Sean R.; Krogh, Anders; Mitchison, Graeme (1998), Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids (1st ed.), Cambridge, New York: Cambridge University Press, ISBN   0-521-62971-3, OCLC   593254083
  6. ↑ Introduction to the Theory of Neural Computation (Santa Fe Institute Studies in the Sciences of Complexity). (1991) John A. Hertz, Richard G. Palmer, Anders Krogh, Westview Press
  7. ↑ Marstrand TT, Frellsen J, Moltke I, et al. (2008). Copley R (ed.). "Asap: A Framework for Over-Representation Statistics for Transcription Factor Binding Sites". PLOS ONE. 3 (2): e1623. Bibcode:2008PLoSO...3.1623M. doi: 10.1371/journal.pone.0001623 . PMC   2229843 . PMID   18286180. Open Access logo PLoS transparent.svg
  8. ↑ Frith MC, Valen E, Krogh A, Hayashizaki Y, Carninci P, Sandelin A (2008). "A code for transcription initiation in mammalian genomes". Genome Res. 18 (1): 1–12. doi:10.1101/gr.6831208. PMC   2134772 . PMID   18032727.
  9. ↑ Bryne JC, Valen E, Tang MH, et al. (2008). "JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update". Nucleic Acids Res. 36 (Database issue): D102–6. doi:10.1093/nar/gkm955. PMC   2238834 . PMID   18006571.
  10. ↑ Lindow M, Jacobsen A, Nygaard S, Mang Y, Krogh A (2007). "Intragenomic Matching Reveals a Huge Potential for miRNA-Mediated Regulation in Plants". PLOS Comput. Biol. 3 (11): e238. Bibcode:2007PLSCB...3..238L. doi: 10.1371/journal.pcbi.0030238 . PMC   2098865 . PMID   18052543. Open Access logo PLoS transparent.svg
  11. ↑ Lindgreen S, Gardner PP, Krogh A (2007). "MASTR: multiple alignment and structure prediction of non-coding RNAs using simulated annealing". Bioinformatics. 23 (24): 3304–11. CiteSeerX   10.1.1.563.7072 . doi:10.1093/bioinformatics/btm525. PMID   18006551.
  12. ↑ Lindgreen S, Gardner PP, Krogh A (2006). "Measuring covariation in RNA alignments: physical realism improves information measures". Bioinformatics. 22 (24): 2988–95. doi:10.1093/bioinformatics/btl514. PMID   17038338.
  13. ↑ Munch K, Krogh A (2006). "Automatic generation of gene finders for eukaryotic species". BMC Bioinformatics. 7: 263. doi: 10.1186/1471-2105-7-263 . PMC   1522026 . PMID   16712739. Open Access logo PLoS transparent.svg
  14. ↑ Munch K, Gardner PP, Arctander P, Krogh A (2006). "A hidden Markov model approach for determining expression from genomic tiling micro arrays". BMC Bioinformatics. 7: 239. doi: 10.1186/1471-2105-7-239 . PMC   1481622 . PMID   16672042. Open Access logo PLoS transparent.svg
  15. ↑ Nielsen P, Krogh A (2005). "Large-scale prokaryotic gene prediction and comparison to genome annotation". Bioinformatics. 21 (24): 4322–9. doi: 10.1093/bioinformatics/bti701 . PMID   16249266.
  16. ↑ Krogh A, Larsson B, von Heijne G, Sonnhammer EL (2001). "Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes". J Mol Biol. 305 (3): 567–580. doi:10.1006/jmbi.2000.4315. PMID   11152613.
  17. ↑ Winther O, Krogh A (2004). "Teaching computers to fold proteins". Phys. Rev. E. 70 (3): 030903. arXiv: cond-mat/0309497 . Bibcode:2004PhRvE..70c0903W. doi:10.1103/PhysRevE.70.030903. PMID   15524499. S2CID   103560.
  18. ↑ Won KJ, Hamelryck T, Prügel-Bennett A, Krogh A (2007). "An evolutionary method for learning HMM structure: prediction of protein secondary structure". BMC Bioinformatics. 8: 357. doi: 10.1186/1471-2105-8-357 . PMC   2072961 . PMID   17888163. Open Access logo PLoS transparent.svg
  19. ↑ Hamelryck T, Kent JT, Krogh A (2006). "Sampling Realistic Protein Conformations Using Local Structural Bias". PLOS Comput. Biol. 2 (9): e131. Bibcode:2006PLSCB...2..131H. doi: 10.1371/journal.pcbi.0020131 . PMC   1570370 . PMID   17002495. Open Access logo PLoS transparent.svg
  20. ↑ Boomsma W, Mardia KV, Taylor CC, Ferkinghoff-Borg J, Krogh A, Hamelryck T (2008). "A generative, probabilistic model of local protein structure". PNAS. 105 (26): 8932–8937. Bibcode:2008PNAS..105.8932B. doi: 10.1073/pnas.0801715105 . PMC   2440424 . PMID   18579771.
  21. ↑ "February 13, 2017: The International Society for Computational Biology Names Seven Members as the ISCB Fellows Class of 2017". www.iscb.org. Retrieved 13 February 2017.
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