Bernhard Thielen
University of Cologne
5 Papers
Bernhard Thielen is an academic researcher from University of Cologne. The author has contributed to research in topics: Quorum sensing & Systems biology. The author has an hindex of 4, co-authored 5 publications. Previous affiliations of Bernhard Thielen include Braunschweig University of Technology.
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Papers
Regulatory and metabolic networks for the adaptation of Pseudomonas aeruginosa biofilms to urinary tract-like conditions.
Petra Tielen,Nathalie Rosin,Ann-Kathrin Meyer,Katrin Dohnt,Isam Haddad,Lothar Jänsch,Johannes Klein,Maike Narten,Claudia Pommerenke,Maurice Scheer,Max Schobert,Dietmar Schomburg,Bernhard Thielen,Dieter Jahn +13 more
TL;DR: The obtained quorum sensing response results in an increased production of virulence factors like the extracellular lipase LipA and protease LasB and AprA explaining the harmful cause of these infections.
mSpecs: a software tool for the administration and editing of mass spectral libraries in the field of metabolomics
TL;DR: mSpecs is an open source software tool to manage mass spectral data in the field of metabolomics that provides editing of mass spectra and virtually any associated information, automatic calculation of formulas and masses and is extensible by scripts.
A Likelihood Ratio Test for Differential Metabolic Profiles in Multiple Intensity Measurements
Frank Klawonn,Claudia Choi,Beatrice Benkert,Bernhard Thielen,Richard Münch,Max Schobert,Dietmar Schomburg,Dieter Jahn +7 more
- 12 Sep 2007
TL;DR: A likelihood ratio test to multiple metabolome measurements is introduced and tested to differentiate differential metabolite compositions obtained from the pathogenic bacterium Pseudomonas aeruginosagrown under various environmental conditions.
SYSTOMONAS — an integrated database for systems biology analysis of Pseudomonas
Claudia Choi,Richard Münch,Stefan Leupold,Johannes Klein,Inga Siegel,Bernhard Thielen,Beatrice Benkert,Martin Kucklick,Max Schobert,Jens Barthelmes,Christian Ebeling,Isam Haddad,Maurice Scheer,Andreas Grote,Karsten Hiller,Boyke Bunk,Kerstin Schreiber,Ida Retter,Dietmar Schomburg,Dieter Jahn +19 more
TL;DR: The focus of SYSTOMONAS is on pseudomonads and in particular Pseudomonas aeruginosa, an opportunistic human pathogen, and the community is encouraged to elucidate cellular processes of interest using an integrated systems biology strategy.
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information of enzymes
TL;DR: The presented algorithm delivers a considerable amount of information and therefore may aid to accelerate the research and the automated analysis required for today's systems biology approaches.