Søren Brunak
Søren Brunak
Professor of Disease Systems Biology, University of Copenhagen
Verified email at cpr.ku.dk - Homepage
Cited by
Cited by
A human gut microbial gene catalogue established by metagenomic sequencing
J Qin, R Li, J Raes, M Arumugam, KS Burgdorf, C Manichanh, T Nielsen, ...
nature 464 (7285), 59-65, 2010
SignalP 4.0: discriminating signal peptides from transmembrane regions
TN Petersen, S Brunak, G Von Heijne, H Nielsen
Nature methods 8 (10), 785-786, 2011
Improved prediction of signal peptides: SignalP 3.0
JD Bendtsen, H Nielsen, G Von Heijne, S Brunak
Journal of molecular biology 340 (4), 783-795, 2004
Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.
H Nielsen, J Engelbrecht, S Brunak, G von Heijne
Protein engineering 10 (1), 1-6, 1997
Enterotypes of the human gut microbiome
M Arumugam, J Raes, E Pelletier, D Le Paslier, T Yamada, DR Mende, ...
nature 473 (7346), 174-180, 2011
Predicting subcellular localization of proteins based on their N-terminal amino acid sequence
O Emanuelsson, H Nielsen, S Brunak, G Von Heijne
Journal of molecular biology 300 (4), 1005-1016, 2000
Locating proteins in the cell using TargetP, SignalP and related tools
O Emanuelsson, S Brunak, G Von Heijne, H Nielsen
Nature protocols 2 (4), 953, 2007
Sequence and structure-based prediction of eukaryotic protein phosphorylation sites
N Blom, S Gammeltoft, S Brunak
Journal of molecular biology 294 (5), 1351-1362, 1999
Richness of human gut microbiome correlates with metabolic markers
E Le Chatelier, T Nielsen, J Qin, E Prifti, F Hildebrand, G Falony, ...
Nature 500 (7464), 541-546, 2013
Assessing the accuracy of prediction algorithms for classification: an overview
P Baldi, S Brunak, Y Chauvin, CAF Andersen, H Nielsen
Bioinformatics 16 (5), 412-424, 2000
Bioinformatics: the machine learning approach
P Baldi, S Brunak, F Bach
MIT press, 2001
Prediction of post‐translational glycosylation and phosphorylation of proteins from the amino acid sequence
N Blom, T Sicheritz‐Pontén, R Gupta, S Gammeltoft, S Brunak
Proteomics 4 (6), 1633-1649, 2004
The economics of risk and uncertainty
C Gollier
The Economics of Risk and Uncertainty, 2018
Quantitative phosphoproteomics reveals widespread full phosphorylation site occupancy during mitosis
JV Olsen, M Vermeulen, A Santamaria, C Kumar, ML Miller, LJ Jensen, ...
Science signaling 3 (104), ra3-ra3, 2010
Mining electronic health records: towards better research applications and clinical care
PB Jensen, LJ Jensen, S Brunak
Nature Reviews Genetics 13 (6), 395-405, 2012
Machine learning approaches for the prediction of signal peptides and other protein sorting signals
H Nielsen, S Brunak, G von Heijne
Protein engineering 12 (1), 3-9, 1999
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
Feature-based prediction of non-classical and leaderless protein secretion
JD Bendtsen, LJ Jensen, N Blom, G Von Heijne, S Brunak
Protein Engineering Design and Selection 17 (4), 349-356, 2004
An integrated catalog of reference genes in the human gut microbiome
J Li, H Jia, X Cai, H Zhong, Q Feng, S Sunagawa, M Arumugam, ...
Nature biotechnology 32 (8), 834-841, 2014
Prediction, conservation analysis, and structural characterization of mammalian mucin-type O-glycosylation sites
K Julenius, A Mølgaard, R Gupta, S Brunak
Glycobiology 15 (2), 153-164, 2005
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