Share This Author
SignalP 4.0: discriminating signal peptides from transmembrane regions
- T. N. Petersen, S. Brunak, G. Heijne, H. Nielsen
- Computer ScienceNature Methods
- 1 October 2011
TLDR
Improved prediction of signal peptides: SignalP 3.0.
- J. D. Bendtsen, H. Nielsen, G. von Heijne, S. Brunak
- Computer ScienceJournal of molecular biology
- 16 July 2004
Predicting subcellular localization of proteins based on their N-terminal amino acid sequence.
- O. Emanuelsson, H. Nielsen, S. Brunak, G. von Heijne
- BiologyJournal of molecular biology
- 21 July 2000
TLDR
Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.
- H. Nielsen, J. Engelbrecht, S. Brunak, G. von Heijne
- BiologyProtein engineering
- 1997
We have developed a new method for the identification of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequence. The method…
Sequence and structure-based prediction of eukaryotic protein phosphorylation sites.
- N. Blom, S. Gammeltoft, S. Brunak
- BiologyJournal of molecular biology
- 17 December 1999
TLDR
Locating proteins in the cell using TargetP, SignalP and related tools
- O. Emanuelsson, S. Brunak, G. Heijne, H. Nielsen
- Biology, Computer ScienceNature Protocols
- 1 April 2007
TLDR
A human gut microbial gene catalogue established by metagenomic sequencing
- J. Qin, Ruiqiang Li, Jun Wang
- BiologyNature
- 4 March 2010
TLDR
Enterotypes of the human gut microbiome
- M. Arumugam, J. Raes, P. Bork
- BiologyNature
- 12 May 2011
TLDR
Prediction of post‐translational glycosylation and phosphorylation of proteins from the amino acid sequence
- N. Blom, T. Sicheritz-Pontén, Ramneek Gupta, S. Gammeltoft, S. Brunak
- BiologyProteomics
- 1 June 2004
TLDR
Assessing the accuracy of prediction algorithms for classification: an overview
- P. Baldi, S. Brunak, Y. Chauvin, C. A. Andersen, H. Nielsen
- Computer ScienceBioinform.
- 1 May 2000
We provide a unified overview of methods that currently are widely used to assess the accuracy of prediction algorithms, from raw percentages, quadratic error measures and other distances, and…
...
...