Global InformationAnders Krogh information
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 |
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]
- ^ "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
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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
- ^ 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
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ "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.
