Anders Krogh

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Gunnar von HeijneStockholm UniversityVerified email at dbb.su.se
Richard DurbinDept of Genetics, University of CambridgeVerified email at cam.ac.uk
Anders Jacobsen SkanderupGenome Institute of SingaporeVerified email at gis.a-star.edu.sg
Søren BrunakProfessor of Disease Systems Biology, University of CopenhagenVerified email at cpr.ku.dk
Sean R. EddyHHMI & Harvard UniversityVerified email at fas.harvard.edu
Anders H. LundUniversity of CopenhagenVerified email at bric.ku.dk
David HausslerScientific Director, UC Santa Cruz Genomics Institute, University of California, Santa CruzVerified email at soe.ucsc.edu
Ole WintherBiology, Univ of Copenhagen, Genomic Medicine, Rigshospitalet and Technical University of DenmarkVerified email at bio.ku.dk
Morten LindowRoche, Therapeutic ModalitiesVerified email at roche.com
Jiayu WenJohn Curtin School of Medical Research, The Australian National UniversityVerified email at anu.edu.au
Kimmen SjolanderProfessor of Bioengineering, University of California, BerkeleyVerified email at berkeley.edu
Eivind ValenGroup Leader, University of BergenVerified email at fas.harvard.edu
Albin SandelinProfessor, The Bioinformatics Centre, Department of Biology & BRIC, Copenhagen UniversityVerified email at binf.ku.dk
Lukas KällProfessor, KTH Royal Institute of Technology, Science for Life LaboratoryVerified email at kth.se
Peter MenzelLabor BerlinVerified email at laborberlin.com
Richard HugheyProfessor of Computer Engineering and Biomolecular Engineering, University of California Santa CruzVerified email at soe.ucsc.edu
Henrik NielsenAssociate Professor, Department of Health Technology, Technical University of DenmarkVerified email at dtu.dk
Stinus LindgreenCurrent Member of ParliamentVerified email at ft.dk
Troels MarstrandPh.D, Computational biologist, LEO-pharmaVerified email at leo-pharma.com
Kyoung Jae WonUniversity of CopenhagenVerified email at bric.ku.dk

Anders Krogh

Department of Computer Science and Center for Health Data Science, University of Copenhagen

Verified email at di.ku.dk - Homepage

Bioinformatics data science machine learning


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Predicting transmembrane protein topology with a hidden markov model: application to complete genomes A Krogh, B Larsson, G Von Heijne, ELL Sonnhammer Journal of molecular biology 305 (3), 567-580, 2001	10993	2001
Introduction to the theory of neural computation JA Hertz, A Krogh, RG Palmer Addison-Wesley, 1991	10976*	1991
Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence ST Cole, R Brosch, J Parkhill, T Garnier, C Churcher, D Harris, SV Gordon, ... Nature 396 (6707), 190-190, 1998	9061	1998
Biological sequence analysis: probabilistic models of proteins and nucleic acids R Durbin, SR Eddy, A Krogh, G Mitchison Cambridge university press, 1998	7528	1998
A hidden Markov model for predicting transmembrane helices in protein sequences. ELL Sonnhammer, G Von Heijne, A Krogh Ismb 6, 175-182, 1998	2816	1998
Hidden Markov models in computational biology: Applications to protein modeling A Krogh, M Brown, IS Mian, K Sjölander, D Haussler Journal of molecular biology 235 (5), 1501-1531, 1994	2564	1994
Neural Network Ensembles, Cross Validation, and Active Learning A Krogh, J Vedelsby Advances in neural information processing systems 7 7, 231, 1995	2504	1995
A combined transmembrane topology and signal peptide prediction method L Käll, A Krogh, ELL Sonnhammer Journal of molecular biology 338 (5), 1027-1036, 2004	2096	2004
A simple weight decay can improve generalization A Krogh, JA Hertz Advances in neural information processing systems 4 (1995), 950-957, 1995	1447	1995
Complete genome sequence of a multiple drug resistant Salmonella enterica serovar Typhi CT18 J Parkhill, G Dougan, KD James, NR Thomson, D Pickard, J Wain, ... Nature 413 (6858), 848-852, 2001	1320	2001
Programmed cell death 4 (PDCD4) is an important functional target of the microRNA miR-21 in breast cancer cells LB Frankel, NR Christoffersen, A Jacobsen, M Lindow, A Krogh, AH Lund Journal of Biological Chemistry 283 (2), 1026-1033, 2008	1314	2008
Advantages of combined transmembrane topology and signal peptide prediction—the Phobius web server L Käll, A Krogh, ELL Sonnhammer Nucleic acids research 35 (suppl_2), W429-W432, 2007	1210	2007
Prediction of lipoprotein signal peptides in Gram‐negative bacteria AS Juncker, H Willenbrock, G Von Heijne, S Brunak, H Nielsen, A Krogh Protein Science 12 (8), 1652-1662, 2003	1141	2003
Ancient human genome sequence of an extinct Palaeo-Eskimo M Rasmussen, Y Li, S Lindgreen, JS Pedersen, A Albrechtsen, I Moltke, ... Nature 463 (7282), 757-762, 2010	793	2010
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update JC Bryne, E Valen, MHE Tang, T Marstrand, O Winther, I da Piedade, ... Nucleic acids research 36 (suppl_1), D102-D106, 2007	767	2007
Recalibrating Equus evolution using the genome sequence of an early Middle Pleistocene horse L Orlando, A Ginolhac, G Zhang, D Froese, A Albrechtsen, M Stiller, ... Nature 499 (7456), 74-78, 2013	711	2013
An Aboriginal Australian genome reveals separate human dispersals into Asia M Rasmussen, X Guo, Y Wang, KE Lohmueller, S Rasmussen, ... Science 334 (6052), 94-98, 2011	711	2011
Prediction of signal peptides and signal anchors by a hidden Markov model. H Nielsen, A Krogh Ismb 6, 122-130, 1998	698	1998
Fast and sensitive taxonomic classification for metagenomics with Kaiju. Nat Commun 7: 11257 P Menzel, KL Ng, A Krogh	667*	2016
Hidden Markov models for sequence analysis: extension and analysis of the basic method R Hughey, A Krogh Bioinformatics 12 (2), 95-107, 1996	664	1996

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