From Wikipedia, the free encyclopedia
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]

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

See also

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 icon
  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 icon
  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 icon
  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 icon
  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 icon
  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 icon
  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.

External links