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Søren Brunak
Researcher at University of Copenhagen
Publications - 504
Citations - 114699
Søren Brunak is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Gene & Medicine. The author has an hindex of 102, co-authored 468 publications receiving 100580 citations. Previous affiliations of Søren Brunak include Foundation Center & Panum Institute.
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Journal ArticleDOI
A human gut microbial gene catalogue established by metagenomic sequencing
Junjie Qin,Ruiqiang Li,Jeroen Raes,Manimozhiyan Arumugam,Kristoffer Sølvsten Burgdorf,Chaysavanh Manichanh,Trine Nielsen,Nicolas Pons,Florence Levenez,Takuji Yamada,Daniel R. Mende,Junhua Li,Junming Xu,Shaochuan Li,Dongfang Li,Jianjun Cao,Bo Wang,Huiqing Liang,Huisong Zheng,Yinlong Xie,Julien Tap,Patricia Lepage,Marcelo Bertalan,Jean-Michel Batto,Torben Hansen,Denis Le Paslier,Allan Linneberg,H. Bjørn Nielsen,Eric Pelletier,Pierre Renault,Thomas Sicheritz-Pontén,Keith Turner,Hongmei Zhu,Chang Yu,Shengting Li,Min Jian,Yan Zhou,Yingrui Li,Xiuqing Zhang,Songgang Li,Nan Qin,Huanming Yang,Jian Wang,Søren Brunak,Joël Doré,Francisco Guarner,Karsten Kristiansen,Oluf Pedersen,Julian Parkhill,Jean Weissenbach,Peer Bork,S. Dusko Ehrlich,Jun Wang +52 more
TL;DR: The Illumina-based metagenomic sequencing, assembly and characterization of 3.3 million non-redundant microbial genes, derived from 576.7 gigabases of sequence, from faecal samples of 124 European individuals are described, indicating that the entire cohort harbours between 1,000 and 1,150 prevalent bacterial species and each individual at least 160 such species.
Journal ArticleDOI
SignalP 4.0: discriminating signal peptides from transmembrane regions
Thomas Nordahl Petersen,Søren Brunak,Søren Brunak,Gunnar von Heijne,Gunnar von Heijne,Henrik Nielsen +5 more
TL;DR: SignalP 4.0 was the best signal-peptide predictor for all three organism types but was not in all cases as good as SignalP 3.0 according to cleavage-site sensitivity or signal- peptide correlation when there are no transmembrane proteins present.
Journal ArticleDOI
Improved Prediction of Signal Peptides: SignalP 3.0
TL;DR: Improvements of the currently most popular method for prediction of classically secreted proteins, SignalP, which consists of two different predictors based on neural network and hidden Markov model algorithms, where both components have been updated.
Journal ArticleDOI
Enterotypes of the human gut microbiome
Manimozhiyan Arumugam,Jeroen Raes,Eric Pelletier,Denis Le Paslier,Takuji Yamada,Daniel R. Mende,Gabriel Fernandes,Julien Tap,Thomas Brüls,Jean-Michel Batto,Marcelo Bertalan,Natalia Borruel,Francesc Casellas,Leyden Fernández,Laurent Gautier,Torben Hansen,Masahira Hattori,Tetsuya Hayashi,Michiel Kleerebezem,Ken Kurokawa,Marion Leclerc,Florence Levenez,Chaysavanh Manichanh,H. Bjørn Nielsen,Trine Nielsen,Nicolas Pons,Julie Poulain,Junjie Qin,Thomas Sicheritz-Pontén,Sebastian Tims,David Torrents,Edgardo Ugarte,Erwin G. Zoetendal,Jun Wang,Francisco Guarner,Oluf Pedersen,Willem M. de Vos,Søren Brunak,Joël Doré,Jean Weissenbach,S. Dusko Ehrlich,Peer Bork +41 more
TL;DR: Three robust clusters (referred to as enterotypes hereafter) are identified that are not nation or continent specific and confirmed in two published, larger cohorts, indicating that intestinal microbiota variation is generally stratified, not continuous.
Journal ArticleDOI
Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.
TL;DR: 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 that performs significantly better than previous prediction schemes and can easily be applied on genome-wide data sets.