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 | 8976 | 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 | 8497 | 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 | 7545 | 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 | 6385 | 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 | 5542 | 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 | 4695 | 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 | 3378 | 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 | 3328 | 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 | 2904 | 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 | 2179 | 2000 |
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 | 1892 | 2004 |
Bioinformatics: the machine learning approach P Baldi, S Brunak, F Bach MIT press, 2001 | 1854 | 2001 |
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 | 1372 | 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 | 1317 | 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 | 1171* | 1999 |
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 | 1167 | 2014 |
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 | 1136 | 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 | 1115 | 2004 |
Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota K Forslund, F Hildebrand, T Nielsen, G Falony, E Le Chatelier, ... Nature 528 (7581), 262-266, 2015 | 1114 | 2015 |
Population genomics of bronze age Eurasia ME Allentoft, M Sikora, KG Sjögren, S Rasmussen, M Rasmussen, ... Nature 522 (7555), 167-172, 2015 | 1094 | 2015 |