scispace - formally typeset
Search or ask a question
Institution

University of Würzburg

EducationWurzburg, Bayern, Germany
About: University of Würzburg is a education organization based out in Wurzburg, Bayern, Germany. It is known for research contribution in the topics: Population & Gene. The organization has 31437 authors who have published 62203 publications receiving 2337033 citations. The organization is also known as: Julius-Maximilians-Universität Würzburg & Würzburg University.


Papers
More filters
Journal ArticleDOI
Dominik Sturm1, Hendrik Witt1, Hendrik Witt2, Volker Hovestadt1, Dong Anh Khuong-Quang3, David T.W. Jones1, Carolin Konermann1, Elke Pfaff1, Martje Tönjes1, Martin Sill1, Sebastian Bender1, Marcel Kool1, Marc Zapatka1, Natalia Becker1, Manuela Zucknick1, Thomas Hielscher1, Xiaoyang Liu3, Adam M. Fontebasso4, Marina Ryzhova, Steffen Albrecht4, Karine Jacob3, Marietta Wolter5, Martin Ebinger6, Martin U. Schuhmann6, Timothy E. Van Meter7, Michael C. Frühwald8, Holger Hauch, Arnulf Pekrun, Bernhard Radlwimmer1, Tim Niehues9, Gregor Von Komorowski, Matthias Dürken, Andreas E. Kulozik2, Jenny Madden10, Andrew M. Donson10, Nicholas K. Foreman10, Rachid Drissi11, Maryam Fouladi11, Wolfram Scheurlen9, Andreas von Deimling1, Andreas von Deimling2, Camelia M. Monoranu12, Wolfgang Roggendorf12, Christel Herold-Mende2, Andreas Unterberg2, Christof M. Kramm13, Jörg Felsberg5, Christian Hartmann14, Benedikt Wiestler2, Wolfgang Wick2, Till Milde2, Till Milde1, Olaf Witt1, Olaf Witt2, Anders Lindroth1, Jeremy Schwartzentruber3, Damien Faury3, Adam Fleming3, Magdalena Zakrzewska15, Pawel P. Liberski15, Krzysztof Zakrzewski16, Peter Hauser17, Miklós Garami17, Almos Klekner18, László Bognár18, Sorana Morrissy19, Florence M.G. Cavalli19, Michael D. Taylor19, Peter van Sluis20, Jan Koster20, Rogier Versteeg20, Richard Volckmann20, Tom Mikkelsen21, Kenneth Aldape22, Guido Reifenberger5, V. Peter Collins23, Jacek Majewski3, Andrey Korshunov1, Peter Lichter1, Christoph Plass1, Nada Jabado3, Stefan M. Pfister1, Stefan M. Pfister2 
TL;DR: It is demonstrated that each H3F3A mutation defines an epigenetic subgroup of GBM with a distinct global methylation pattern, and that they are mutually exclusive with IDH1 mutations, which characterize a third mutation-defined subgroup.

1,557 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used sequence typing of the spa gene repeat region to study the epidemiology of MRSA at a German university hospital during two periods of 10 and 4 months, respectively.
Abstract: The spa gene of Staphylococcus aureus encodes protein A and is used for typing of methicillin-resistant Staphylococcus aureus (MRSA) We used sequence typing of the spa gene repeat region to study the epidemiology of MRSA at a German university hospital One hundred seven and 84 strains were studied during two periods of 10 and 4 months, respectively Repeats and spa types were determined by Ridom StaphType, a novel software tool allowing rapid repeat determination, data management and retrieval, and Internet-based assignment of new spa types following automatic quality control of DNA sequence chromatograms Isolates representative of the most abundant spa types were subjected to multilocus sequence typing and pulsed-field gel electrophoresis One of two predominant spa types was replaced by a clonally related variant in the second study period Ten unique spa types, which were equally distributed in both study periods, were recovered The data show a rapid dynamics of clone circulation in a university hospital setting spa typing was valuable for tracking of epidemic isolates The data show that disproval of epidemiologically suggested transmissions of MRSA is one of the main objectives of spa typing in departments with a high incidence of MRSA

1,544 citations

Journal ArticleDOI
P. L. Nolan1, A. A. Abdo2, A. A. Abdo3, Markus Ackermann  +290 moreInstitutions (53)
TL;DR: The second Fermi-LAT catalog (2FGL) as mentioned in this paper includes source location regions, defined in terms of elliptical fits to the 95% confidence regions and spectral fits in terms either power-law, exponentially cutoff power law, or log-normal forms.
Abstract: We present the second catalog of high-energy γ-ray sources detected by the Large Area Telescope (LAT), the primary science instrument on the Fermi Gamma-ray Space Telescope (Fermi), derived from data taken during the first 24 months of the science phase of the mission, which began on 2008 August 4. Source detection is based on the average flux over the 24 month period. The second Fermi-LAT catalog (2FGL) includes source location regions, defined in terms of elliptical fits to the 95% confidence regions and spectral fits in terms of power-law, exponentially cutoff power-law, or log-normal forms. Also included are flux measurements in five energy bands and light curves on monthly intervals for each source. Twelve sources in the catalog are modeled as spatially extended. We provide a detailed comparison of the results from this catalog with those from the first Fermi-LAT catalog (1FGL). Although the diffuse Galactic and isotropic models used in the 2FGL analysis are improved compared to the 1FGL catalog, we attach caution flags to 162 of the sources to indicate possible confusion with residual imperfections in the diffuse model. The 2FGL catalog contains 1873 sources detected and characterized in the 100 MeV to 100 GeV range of which we consider 127 as being firmly identified and 1171 as being reliably associated with counterparts of known or likely γ-ray-producing source classes.

1,541 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott1, Jalal Abdallah1, A. A. Abdelalim1  +2582 moreInstitutions (23)
TL;DR: The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for large-scale production of events on the LHC Computing Grid, including supporting the detector description, interfacing the event generation, and combining the GEANT4 simulation of the response of the individual detectors.
Abstract: The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for large-scale production of events on the LHC Computing Grid. This simulation requires many components, from the generators that simulate particle collisions, through packages simulating the response of the various detectors and triggers. All of these components come together under the ATLAS simulation infrastructure. In this paper, that infrastructure is discussed, including that supporting the detector description, interfacing the event generation, and combining the GEANT4 simulation of the response of the individual detectors. Also described are the tools allowing the software validation, performance testing, and the validation of the simulated output against known physics processes.

1,514 citations

Journal ArticleDOI
TL;DR: This review uses knowledge gained from human‐modified landscapes to suggest eight hypotheses, which it hopes will encourage more systematic research on the role of landscape composition and configuration in determining the structure of ecological communities, ecosystem functioning and services.
Abstract: Understanding how landscape characteristics affect biodiversity patterns and ecological processes at local and landscape scales is critical for mitigating effects of global environmental change. In this review, we use knowledge gained from human-modified landscapes to suggest eight hypotheses, which we hope will encourage more systematic research on

1,513 citations


Authors

Showing all 31653 results

NameH-indexPapersCitations
Peer Bork206697245427
Cyrus Cooper2041869206782
D. M. Strom1763167194314
George P. Chrousos1691612120752
David A. Bennett1671142109844
Marc W. Kirschner162457102145
Josef M. Penninger154700107295
William A. Catterall15453683561
Rui Zhang1512625107917
Niels Birbaumer14283577853
Kim Nasmyth14229459231
James J. Gross139529100206
Michael Schmitt1342007114667
Jean-Luc Brédas134102685803
Alexander Schmidt134118583879
Network Information
Related Institutions (5)
Ludwig Maximilian University of Munich
161.5K papers, 5.7M citations

95% related

Utrecht University
139.3K papers, 6.2M citations

94% related

University of Pittsburgh
201K papers, 9.6M citations

94% related

University of California, San Diego
204.5K papers, 12.3M citations

94% related

Duke University
200.3K papers, 10.7M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023111
2022398
20212,960
20202,899
20192,714
20182,447