T
Thomas Huber
Researcher at Australian National University
Publications - 204
Citations - 20261
Thomas Huber is an academic researcher from Australian National University. The author has contributed to research in topics: Medicine & Neutrino. The author has an hindex of 47, co-authored 159 publications receiving 17918 citations. Previous affiliations of Thomas Huber include Cooperative Research Centre & University of Queensland.
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Journal ArticleDOI
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
Todd Z. DeSantis,Philip Hugenholtz,Neils Larsen,Mark Rojas,Eoin L. Brodie,Keith Keller,Thomas Huber,Daniel Dalevi,Ping Hu,Gary L. Andersen +9 more
TL;DR: A 16S rRNA gene database (http://greengenes.lbl.gov) was used to provide chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies as mentioned in this paper.
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Bellerophon: a program to detect chimeric sequences in multiple sequence alignments
TL;DR: Bellerophon was specifically developed to detect 16S rRNA gene chimeras in PCR-clone libraries of environmental samples but can be applied to other nucleotide sequence alignments.
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The GROMOS Biomolecular Simulation Program Package
Walter R. P. Scott,Philippe H. Hünenberger,Ilario G. Tironi,Alan E. Mark,S. R. Billeter,Jens Fennen,Andrew E. Torda,Thomas Huber,Peter Kruger,W. F. van Gunsteren +9 more
TL;DR: The newest version of the GROningen MOlecular Simulation program package, GROMOS96, has been developed for the dynamic modelling of (bio)molecules using the methods of molecular dynamics, stochastic dynamics, and energy minimization as well as the path-integral formalism.
Journal Article
The GROMOS biomolecular simulation program package
Walter R. P. Scott,Philippe H. Hünenberger,Ilario G. Tironi,Alan E. Mark,S. R. Billeter,Jens Fennen,Andrew E. Torda,Peter Kruger,W. F. van Gunsteren,Thomas Huber +9 more
TL;DR: The GROningen MOlecular Simulation (GROMOS) program package as mentioned in this paper has been developed for the dynamic modeling of (bio)molecules using the methods of molecular dynamics, stochastic dynamics, and energy minimization as well as the path-integral formalism.
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Local elevation: A method for improving the searching properties of molecular dynamics simulation
TL;DR: Although the concept of memory has been introduced into a molecular dynamics algorithm, it can only be applied to systems with a small number of degrees of freedom, and offers the chance to generate a multitude of different low-energy structures, where other methods only give a single one or few.