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Institution

University of Göttingen

EducationGöttingen, Germany
About: University of Göttingen is a education organization based out in Göttingen, Germany. It is known for research contribution in the topics: Population & Gene. The organization has 43851 authors who have published 86318 publications receiving 3010295 citations. The organization is also known as: Georg-August-Universität Göttingen & Universität Göttingen.


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Journal ArticleDOI
01 Aug 2006-Taxon
TL;DR: A revised classification for extant ferns is presented, with emphasis on ordinal and familial ranks, and a synopsis of included genera is provided, reflecting recently published phylogenetic hypotheses based on both morphological and molecular data.
Abstract: We present a revised classification for extant ferns, with emphasis on ordinal and familial ranks, and a synopsis of included genera. Our classification reflects recently published phylogenetic hypotheses based on both morphological and molecular data. Within our new classification, we recognize four monophyletic classes, 11 monophyletic orders, and 37 families, 32 of which are strongly supported as monophyletic. One new family, Cibotiaceae Korall, is described. The phylogenetic affinities of a few genera in the order Polypodiales are unclear and their familial placements are therefore tentative. Alphabetical lists of accepted genera (including common synonyms), families, orders, and taxa of higher rank are provided.

1,363 citations

Journal ArticleDOI
William C. Nierman1, William C. Nierman2, Arnab Pain3, Michael J. Anderson4, Jennifer R. Wortman1, Jennifer R. Wortman2, H. Stanley Kim1, H. Stanley Kim2, Javier Arroyo5, Matthew Berriman3, Keietsu Abe6, David B. Archer7, Clara Bermejo5, Joan W. Bennett8, Paul Bowyer4, Dan Chen1, Dan Chen2, Matthew Collins3, Richard Coulsen, Robert L. Davies3, Paul S. Dyer7, Mark L. Farman9, Nadia Fedorova2, Nadia Fedorova1, Natalie D. Fedorova1, Natalie D. Fedorova2, T. Feldblyum1, T. Feldblyum2, Reinhard Fischer10, Nigel Fosker3, Audrey Fraser3, José Luis García11, María Josefa Marcos García12, Ariette Goble3, Gustavo H. Goldman13, Katsuya Gomi6, Sam Griffith-Jones3, R. Gwilliam3, Brian J. Haas1, Brian J. Haas2, Hubertus Haas14, David Harris3, H. Horiuchi15, Jiaqi Huang2, Jiaqi Huang1, Sean Humphray3, Javier Jiménez12, Nancy P. Keller15, H. Khouri2, H. Khouri1, Katsuhiko Kitamoto16, Tetsuo Kobayashi17, Sven Konzack10, Resham Kulkarni1, Resham Kulkarni2, Toshitaka Kumagai18, Anne Lafton19, Jean-Paul Latgé19, Weixi Li9, Angela Lord3, Charles Lu1, Charles Lu2, William H. Majoros1, William H. Majoros2, Gregory S. May20, Bruce L. Miller21, Yasmin Ali Mohamoud1, Yasmin Ali Mohamoud2, María Molina5, Michel Monod22, Isabelle Mouyna19, Stephanie Mulligan2, Stephanie Mulligan1, Lee Murphy3, Susan O'Neil3, Ian T. Paulsen1, Ian T. Paulsen2, Miguel A. Peñalva11, Mihaela Pertea1, Mihaela Pertea2, Claire Price3, Bethan L. Pritchard4, Michael A. Quail3, Ester Rabbinowitsch3, Neil Rawlins3, Marie Adele Rajandream3, Utz Reichard23, Hubert Renauld3, Geoffrey D. Robson4, Santiago Rodríguez de Córdoba11, José Manuel Rodríguez-Peña5, Catherine M. Ronning2, Catherine M. Ronning1, Simon Rutter3, Steven L. Salzberg1, Steven L. Salzberg2, Miguel del Nogal Sánchez12, Juan C. Sánchez-Ferrero11, David L. Saunders3, Kathy Seeger3, Rob Squares3, S. Squares3, Michio Takeuchi24, Fredj Tekaia19, Geoffrey Turner25, Carlos R. Vázquez de Aldana12, J. Weidman1, J. Weidman2, Owen White1, Owen White2, John Woodward3, Jae-Hyuk Yu15, Claire M. Fraser1, Claire M. Fraser2, James E. Galagan26, Kiyoshi Asai18, Masayuki Machida18, Neil Hall3, Neil Hall1, Bart Barrell3, David W. Denning4 
22 Dec 2005-Nature
TL;DR: The Af293 genome sequence provides an unparalleled resource for the future understanding of this remarkable fungus and revealed temperature-dependent expression of distinct sets of genes, as well as 700 A. fumigatus genes not present or significantly diverged in the closely related sexual species Neosartorya fischeri, many of which may have roles in the pathogenicity phenotype.
Abstract: Aspergillus fumigatus is exceptional among microorganisms in being both a primary and opportunistic pathogen as well as a major allergen. Its conidia production is prolific, and so human respiratory tract exposure is almost constant. A. fumigatus is isolated from human habitats and vegetable compost heaps. In immunocompromised individuals, the incidence of invasive infection can be as high as 50% and the mortality rate is often about 50% (ref. 2). The interaction of A. fumigatus and other airborne fungi with the immune system is increasingly linked to severe asthma and sinusitis. Although the burden of invasive disease caused by A. fumigatus is substantial, the basic biology of the organism is mostly obscure. Here we show the complete 29.4-megabase genome sequence of the clinical isolate Af293, which consists of eight chromosomes containing 9,926 predicted genes. Microarray analysis revealed temperature-dependent expression of distinct sets of genes, as well as 700 A. fumigatus genes not present or significantly diverged in the closely related sexual species Neosartorya fischeri, many of which may have roles in the pathogenicity phenotype. The Af293 genome sequence provides an unparalleled resource for the future understanding of this remarkable fungus.

1,356 citations

Journal ArticleDOI
Andrew I R Maas1, David K. Menon2, P. David Adelson3, Nada Andelic4  +339 moreInstitutions (110)
TL;DR: The InTBIR Participants and Investigators have provided informed consent for the study to take place in Poland.
Abstract: Additional co-authors: Endre Czeiter, Marek Czosnyka, Ramon Diaz-Arrastia, Jens P Dreier, Ann-Christine Duhaime, Ari Ercole, Thomas A van Essen, Valery L Feigin, Guoyi Gao, Joseph Giacino, Laura E Gonzalez-Lara, Russell L Gruen, Deepak Gupta, Jed A Hartings, Sean Hill, Ji-yao Jiang, Naomi Ketharanathan, Erwin J O Kompanje, Linda Lanyon, Steven Laureys, Fiona Lecky, Harvey Levin, Hester F Lingsma, Marc Maegele, Marek Majdan, Geoffrey Manley, Jill Marsteller, Luciana Mascia, Charles McFadyen, Stefania Mondello, Virginia Newcombe, Aarno Palotie, Paul M Parizel, Wilco Peul, James Piercy, Suzanne Polinder, Louis Puybasset, Todd E Rasmussen, Rolf Rossaint, Peter Smielewski, Jeannette Soderberg, Simon J Stanworth, Murray B Stein, Nicole von Steinbuchel, William Stewart, Ewout W Steyerberg, Nino Stocchetti, Anneliese Synnot, Braden Te Ao, Olli Tenovuo, Alice Theadom, Dick Tibboel, Walter Videtta, Kevin K W Wang, W Huw Williams, Kristine Yaffe for the InTBIR Participants and Investigators

1,354 citations

Journal ArticleDOI
TL;DR: The authors bring together the results from these pharmacological, neurophysiological, and imaging studies to describe their current knowledge of the physiological effects of tDCS, and the theoretical framework for how tDCS affects motor learning is proposed.
Abstract: Since the rediscovery of transcranial direct current stimulation (tDCS) about 10 years ago, interest in tDCS has grown exponentially. A noninvasive stimulation technique that induces robust excitability changes within the stimulated cortex, tDCS is increasingly being used in proof-of-principle and stage IIa clinical trials in a wide range of neurological and psychiatric disorders. Alongside these clinical studies, detailed work has been performed to elucidate the mechanisms underlying the observed effects. In this review, the authors bring together the results from these pharmacological, neurophysiological, and imaging studies to describe their current knowledge of the physiological effects of tDCS. In addition, the theoretical framework for how tDCS affects motor learning is proposed.

1,353 citations

Proceedings ArticleDOI
26 Apr 1985
TL;DR: A code-excited linear predictive coder in which the optimum innovation sequence is selected from a code book of stored sequences to optimize a given fidelity criterion, indicating that a random code book has a slight speech quality advantage at low bit rates.
Abstract: We describe in this paper a code-excited linear predictive coder in which the optimum innovation sequence is selected from a code book of stored sequences to optimize a given fidelity criterion. Each sample of the innovation sequence is filtered sequentially through two time-varying linear recursive filters, one with a long-delay (related to pitch period) predictor in the feedback loop and the other with a short-delay predictor (related to spectral envelope) in the feedback loop. We code speech, sampled at 8 kHz, in blocks of 5-msec duration. Each block consisting of 40 samples is produced from one of 1024 possible innovation sequences. The bit rate for the innovation sequence is thus 1/4 bit per sample. We compare in this paper several different random and deterministic code books for their effectiveness in providing the optimum innovation sequence in each block. Our results indicate that a random code book has a slight speech quality advantage at low bit rates. Examples of speech produced by the above method will be played at the conference.

1,343 citations


Authors

Showing all 44172 results

NameH-indexPapersCitations
Yang Gao1682047146301
J. S. Lange1602083145919
Jens J. Holst1601536107858
Hans Lassmann15572479933
Walter Paulus14980986252
Arnulf Quadt1351409123441
Elizaveta Shabalina133142192273
Ernst Detlef Schulze13367069504
Mark Stitt13245660800
Meinrat O. Andreae13170072714
Teja Tscharntke13052070554
William C. Hahn13044872191
Vladimir Cindro129115782000
Dave Britton129109484187
Johannes Haller129117884813
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023156
2022719
20214,584
20204,365
20193,960
20183,749