Biography:Anders Krogh

From HandWiki
Anders Krogh
NationalityDenmark
Alma materUniversity of Copenhagen
Known forhidden Markov models, neural networks
AwardsISCB Fellow (2017)
Scientific career
FieldsBioinformatics
InstitutionsUniversity of Copenhagen
Websitepeople.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]

References

  1. ↑ "Archived copy". Archived from the original on 2011-09-02. https://web.archive.org/web/20110902094343/http://wiki.binf.ku.dk/User%3AKrogh. Retrieved 2011-04-14.  Professor Anders Krogh, The Bioinformatics Centre, Department of Molecuar Biology, University of Copenhagen
  2. ↑ "Hidden Markov models in computational biology. Applications to protein modeling". J. Mol. Biol. 235 (5): 1501–31. 1994. doi:10.1006/jmbi.1994.1104. PMID 8107089. 
  3. ↑ "A hidden Markov model that finds genes in E. coli DNA". Nucleic Acids Res. 22 (22): 4768–78. 1994. doi:10.1093/nar/22.22.4768. 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, doi:10.2277/0521629713, ISBN 0-521-62971-3, OCLC 593254083, http://www.cambridge.org/gb/knowledge/isbn/item1158701 
  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, Richard. ed. "Asap: A Framework for Over-Representation Statistics for Transcription Factor Binding Sites". PLoS ONE 3 (2): e1623. doi:10.1371/journal.pone.0001623. PMID 18286180. Bibcode: 2008PLoSO...3.1623M.  open access
  8. ↑ "A code for transcription initiation in mammalian genomes". Genome Res. 18 (1): 1–12. 2008. doi:10.1101/gr.6831208. 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. PMID 18006571. 
  10. ↑ "Intragenomic Matching Reveals a Huge Potential for miRNA-Mediated Regulation in Plants". PLoS Comput. Biol. 3 (11): e238. 2007. doi:10.1371/journal.pcbi.0030238. PMID 18052543. Bibcode: 2007PLSCB...3..238L.  open access
  11. ↑ "MASTR: multiple alignment and structure prediction of non-coding RNAs using simulated annealing". Bioinformatics 23 (24): 3304–11. 2007. doi:10.1093/bioinformatics/btm525. PMID 18006551. 
  12. ↑ "Measuring covariation in RNA alignments: physical realism improves information measures". Bioinformatics 22 (24): 2988–95. 2006. doi:10.1093/bioinformatics/btl514. PMID 17038338. 
  13. ↑ "Automatic generation of gene finders for eukaryotic species". BMC Bioinformatics 7: 263. 2006. doi:10.1186/1471-2105-7-263. PMID 16712739.  open access
  14. ↑ "A hidden Markov model approach for determining expression from genomic tiling micro arrays". BMC Bioinformatics 7: 239. 2006. doi:10.1186/1471-2105-7-239. PMID 16672042.  open access
  15. ↑ "Large-scale prokaryotic gene prediction and comparison to genome annotation". Bioinformatics 21 (24): 4322–9. 2005. doi:10.1093/bioinformatics/bti701. PMID 16249266. 
  16. ↑ "Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes". J Mol Biol 305 (3): 567–580. 2001. doi:10.1006/jmbi.2000.4315. PMID 11152613. 
  17. ↑ "Teaching computers to fold proteins". Phys. Rev. E 70 (3): 030903. 2004. doi:10.1103/PhysRevE.70.030903. PMID 15524499. Bibcode: 2004PhRvE..70c0903W. 
  18. ↑ "An evolutionary method for learning HMM structure: prediction of protein secondary structure". BMC Bioinformatics 8: 357. 2007. doi:10.1186/1471-2105-8-357. PMID 17888163.  open access
  19. ↑ "Sampling Realistic Protein Conformations Using Local Structural Bias". PLoS Comput. Biol. 2 (9): e131. 2006. doi:10.1371/journal.pcbi.0020131. PMID 17002495. Bibcode: 2006PLSCB...2..131H.  open access
  20. ↑ "A generative, probabilistic model of local protein structure". PNAS 105 (26): 8932–8937. 2008. doi:10.1073/pnas.0801715105. PMID 18579771. Bibcode: 2008PNAS..105.8932B. 
  21. ↑ "February 13, 2017: The International Society for Computational Biology Names Seven Members as the ISCB Fellows Class of 2017". https://www.iscb.org/iscb-news-items/3067-2017-feb13-iscb-fellows-class-2017. Retrieved 13 February 2017. 

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