Anders Krogh Explained

Anders Krogh
Work Institutions:University of Copenhagen
Nationality:Danish
Known For:hidden Markov models, neural networks
Field:Bioinformatics
Occupation:Professor
Alma Mater:University of Copenhagen
Prizes:ISCB Fellow (2017)

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. In addition, he also co-authored one of the early textbooks on neural networks.[5] His current research interests include promoter analysis,[6] [7] [8] non-coding RNA,[9] [10] [11] gene prediction[12] [13] [14] and protein structure prediction.[15] [16] [17] [18] [19]

In 2017, Krogh was elected a Fellow of the International Society for Computational Biology (ISCB).[20]

See also

External links

Notes and References

  1. Web site: User:Krogh - BINF - Bioinformatics Centre . 2011-04-14 . dead . https://web.archive.org/web/20110902094343/http://wiki.binf.ku.dk/User%3AKrogh . 2011-09-02 . Professor Anders Krogh, The Bioinformatics Centre, Department of Molecuar Biology, University of Copenhagen
  2. Krogh A, Brown M, Mian IS, Sjölander K, Haussler D . Hidden Markov models in computational biology. Applications to protein modeling . J. Mol. Biol. . 235 . 5 . 1501–31 . 1994 . 8107089 . 10.1006/jmbi.1994.1104.
  3. Krogh A, Mian IS, Haussler D . A hidden Markov model that finds genes in E. coli DNA . Nucleic Acids Res. . 22 . 22 . 4768–78 . 1994 . 7984429 . 10.1093/nar/22.22.4768 . 308529.
  4. Sjölander K . Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology . Comput. Appl. Biosci. . 12 . 4 . 327–45 . 1996 . 8902360 . vanc . Karplus K . Brown M . 3 . Hughey . R . Krogh . A . Mian . IS . Haussler . D . 10.1093/bioinformatics/12.4.327. free .
  5. 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
  6. Marstrand TT . Asap: A Framework for Over-Representation Statistics for Transcription Factor Binding Sites . PLOS ONE . 3 . 2 . e1623 . 2008 . 18286180 . 10.1371/journal.pone.0001623 . 2229843 . vanc . Frellsen J . Moltke I . 3 . Copley . Richard . Thiim . Martin . Valen . Eivind . Retelska . Dorota . Krogh . Anders. 2008PLoSO...3.1623M . free .
  7. Frith MC, Valen E, Krogh A, Hayashizaki Y, Carninci P, Sandelin A . A code for transcription initiation in mammalian genomes . Genome Res. . 18 . 1 . 1–12 . 2008 . 18032727 . 10.1101/gr.6831208 . 2134772.
  8. Bryne JC . 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 . 2008 . 18006571 . 10.1093/nar/gkm955 . 2238834 . vanc . Valen E . Tang MH . 3 . Marstrand . T. . Winther . O. . Da Piedade . I. . Krogh . A. . Lenhard . B. . Sandelin . A..
  9. Lindow M, Jacobsen A, Nygaard S, Mang Y, Krogh A . Intragenomic Matching Reveals a Huge Potential for miRNA-Mediated Regulation in Plants . PLOS Comput. Biol. . 3 . 11 . e238 . 2007 . 18052543 . 10.1371/journal.pcbi.0030238 . 2098865. 2007PLSCB...3..238L . free .
  10. Lindgreen S, Gardner PP, Krogh A . MASTR: multiple alignment and structure prediction of non-coding RNAs using simulated annealing . Bioinformatics . 23 . 24 . 3304–11 . 2007 . 18006551 . 10.1093/bioinformatics/btm525. 10.1.1.563.7072 .
  11. Lindgreen S, Gardner PP, Krogh A . Measuring covariation in RNA alignments: physical realism improves information measures . Bioinformatics . 22 . 24 . 2988–95 . 2006 . 17038338 . 10.1093/bioinformatics/btl514.
  12. Munch K, Krogh A . Automatic generation of gene finders for eukaryotic species . BMC Bioinformatics . 7. 263 . 2006 . 16712739 . 10.1186/1471-2105-7-263 . 1522026 . free .
  13. Munch K, Gardner PP, Arctander P, Krogh A . A hidden Markov model approach for determining expression from genomic tiling micro arrays . BMC Bioinformatics . 7. 239 . 2006 . 16672042 . 10.1186/1471-2105-7-239 . 1481622 . free .
  14. Nielsen P, Krogh A . Large-scale prokaryotic gene prediction and comparison to genome annotation . Bioinformatics . 21 . 24 . 4322–9 . 2005 . 16249266 . 10.1093/bioinformatics/bti701. free .
  15. Krogh A, Larsson B, von Heijne G, Sonnhammer EL . Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes . J Mol Biol . 305 . 3 . 567–580 . 2001 . 11152613 . 10.1006/jmbi.2000.4315 .
  16. Winther O, Krogh A . Teaching computers to fold proteins . Phys. Rev. E . 70 . 3 . 030903 . 2004 . 15524499 . 10.1103/PhysRevE.70.030903 . cond-mat/0309497 . 2004PhRvE..70c0903W . 103560 .
  17. Won KJ, Hamelryck T, Prügel-Bennett A, Krogh A . An evolutionary method for learning HMM structure: prediction of protein secondary structure . BMC Bioinformatics . 8. 357 . 2007 . 17888163 . 10.1186/1471-2105-8-357 . 2072961 . free .
  18. Hamelryck T, Kent JT, Krogh A . Sampling Realistic Protein Conformations Using Local Structural Bias . PLOS Comput. Biol. . 2 . 9 . e131 . 2006 . 17002495 . 10.1371/journal.pcbi.0020131 . 1570370. 2006PLSCB...2..131H . free .
  19. Boomsma W, Mardia KV, Taylor CC, Ferkinghoff-Borg J, Krogh A, Hamelryck T . A generative, probabilistic model of local protein structure . PNAS . 105 . 26 . 8932–8937 . 2008 . 18579771 . 10.1073/pnas.0801715105 . 2440424. 2008PNAS..105.8932B . free .
  20. Web site: February 13, 2017: The International Society for Computational Biology Names Seven Members as the ISCB Fellows Class of 2017. www.iscb.org. 13 February 2017.

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