R
Richard Münch
Researcher at Braunschweig University of Technology
Publications - 40
Citations - 5833
Richard Münch is an academic researcher from Braunschweig University of Technology. The author has contributed to research in topics: Regulon & Gene. The author has an hindex of 22, co-authored 40 publications receiving 5247 citations. Previous affiliations of Richard Münch include University of Würzburg.
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TRANSFAC®: transcriptional regulation, from patterns to profiles
V. Matys,Ellen Fricke,Robert Geffers,Ellen Gößling,Martin Haubrock,Reinhard Hehl,Klaus Hornischer,Dagmar Karas,Alexander E. Kel,Olga V. Kel-Margoulis,Dorothee-U. Kloos,Sigrid Land,Birgit Lewicki-Potapov,Holger Michael,Richard Münch,Ingmar Reuter,Stella Rotert,H. Saxel,Maurice Scheer,S. Thiele,Edgar Wingender +20 more
TL;DR: The TRANSFAC database on eukaryotic transcriptional regulation, comprising data on transcription factors, their target genes and regulatory binding sites, has been extended and further developed, both in number of entries and in the scope and structure of the collected data.
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JCat: a novel tool to adapt codon usage of a target gene to its potential expression host
Andreas Grote,Karsten Hiller,Maurice Scheer,Richard Münch,Bernd Nörtemann,Dietmar C. Hempel,Dieter Jahn +6 more
TL;DR: A novel method for the adaptation of target gene codon usage to most sequenced prokaryotes and selected eukaryotic gene expression hosts was developed to improve heterologous protein production using JCat (Java Codon Adaptation Tool).
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PrediSi: prediction of signal peptides and their cleavage positions.
TL;DR: PrediSi (Prediction of Signal peptides), a new tool for predicting signal peptide sequences and their cleavage positions in bacterial and eukaryotic amino acid sequences, which is especially useful for the analysis of large datasets in real time with high accuracy.
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Virtual Footprint and PRODORIC: an integrative framework for regulon prediction in prokaryotes
Richard Münch,Karsten Hiller,Andreas Grote,Maurice Scheer,Johannes Klein,Max Schobert,Dieter Jahn +6 more
TL;DR: A new online framework for the accurate and integrative prediction of transcription factor binding sites (TFBSs) in prokaryotes was developed and a free and easy to use collection of interconnected tools in the field of molecular microbiology, infection and systems biology is provided.
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PRODORIC: prokaryotic database of gene regulation
TL;DR: The database PRODORIC aims to systematically organize information on prokaryotic gene expression, and to integrate this information into regulatory networks, and the present version focuses on pathogenic bacteria such as Pseudomonas aeruginosa.