Institution
University of Göttingen
Education•Göttingen, 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.
Topics: Population, Gene, Species richness, Context (language use), Catalysis
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this paper, a library of high-resolution synthetic spectra based on the stellar atmosphere code PHOENIX is presented, which can be used for a wide range of applications of spectral analysis and stellar parameter synthesis.
Abstract: Aims. We present a new library of high-resolution synthetic spectra based on the stellar atmosphere code PHOENIX that can be used for a wide range of applications of spectral analysis and stellar parameter synthesis. Methods. The spherical mode of PHOENIX was used to create model atmospheres and to derive detailed synthetic stellar spectra from them. We present a new self-consistent way of describing micro-turbulence for our model atmospheres. Results. The synthetic spectra cover the wavelength range from 500 A to 5.5 μm with resolutions of R = 500 000 in the optical and near IR, R = 100 000 in the IR and Δλ = 0.1 A in the UV. The parameter space covers 2300 K ≤ Teff ≤ 12 000 K, 0.0 ≤ log g ≤ +6.0, −4.0 ≤ [Fe/H] ≤ +1.0, and −0.2 ≤ [α/Fe] ≤ +1.2. The library is a work in progress and we expect to extend it up to Teff = 25 000 K.
1,398 citations
••
Clark University1, United States Department of Energy2, University of Minnesota3, Aix-Marseille University4, Spanish National Research Council5, Oregon State University6, University of Cincinnati Academic Health Center7, Utrecht University8, University of Zaragoza9, Duke University10, United States Department of Agriculture11, University of Warsaw12, University of Tokyo13, Nancy-Université14, University of Göttingen15, Pontifical Catholic University of Chile16, University of Helsinki17, Concordia University Wisconsin18, Vanderbilt University19, University of Wisconsin-Madison20, Swedish University of Agricultural Sciences21, Universidad Pública de Navarra22, Swansea University23
TL;DR: Comparative analyses of 31 fungal genomes suggest that lignin-degrading peroxidases expanded in the lineage leading to the ancestor of the Agaricomycetes, which is reconstructed as a white rot species, and then contracted in parallel lineages leading to brown rot and mycorrhizal species.
Abstract: Wood is a major pool of organic carbon that is highly resistant to decay, owing largely to the presence of lignin. The only organisms capable of substantial lignin decay are white rot fungi in the Agaricomycetes, which also contains non-lignin-degrading brown rot and ectomycorrhizal species. Comparative analyses of 31 fungal genomes (12 generated for this study) suggest that lignin-degrading peroxidases expanded in the lineage leading to the ancestor of the Agaricomycetes, which is reconstructed as a white rot species, and then contracted in parallel lineages leading to brown rot and mycorrhizal species. Molecular clock analyses suggest that the origin of lignin degradation might have coincided with the sharp decrease in the rate of organic carbon burial around the end of the Carboniferous period.
1,396 citations
••
27 Sep 2003TL;DR: A new program, AUGUSTUS, is developed for the ab initio prediction of protein coding genes in eukaryotic genomes based on a Hidden Markov Model and integrates a number of known methods and submodels and employs a new way of modeling intron lengths.
Abstract: Motivation: The problem of finding the genes in eukaryotic DNA sequences by computational methods is still not satisfactorily solved. Gene finding programs have achieved relatively high accuracy on short genomic sequences but do not perform well on longer sequences with an unknown number of genes in them. Here existing programs tend to predict many false exons. Results: We have developed a new program, AUGUSTUS, for the ab initio prediction of protein coding genes in eukaryotic genomes. The program is based on a Hidden Markov Model and integrates a number of known methods and submodels. It employs a new way of modeling intron lengths. We use a new donor splice site model, a new model for a short region directly upstream of the donor splice site model that takes the reading frame into account and apply a method that allows better GC-content dependent parameter estimation. AUGUSTUS predicts on longer sequences far more human and drosophila genes accurately than the ab initio gene prediction programs we compared it with, while at the same time being more specific. Availability: Aw eb interface for AUGUSTUS and the executable program are located at http://augustus.gobics. de. Supplementary Information: The datasets used for testing and training are available at http://augustus.gobics.de/
1,394 citations
••
TL;DR: It is hypothesize that the different COVID-19 patterns found at presentation in the emergency department depend on the interaction between three factors: the severity of the infection, the host response, physiological reserve and comorbidities; the ventilatory responsiveness of the patient to hypoxemia; and the time elapsed between the onset of the disease and the observation in the hospital.
Abstract: The Surviving Sepsis Campaign panel recently recommended that “mechanically ventilated patients with COVID-19 should be managed similarly to other patients with acute respiratory failure in the ICU [1].” Yet, COVID-19 pneumonia [2], despite falling in most of the circumstances under the Berlin definition of ARDS [3], is a specific disease, whose distinctive features are severe hypoxemia often associated with near normal respiratory system compliance (more than 50% of the 150 patients measured by the authors and further confirmed by several colleagues in Northern Italy). This remarkable combination is almost never seen in severe ARDS. These severely hypoxemic patients despite sharing a single etiology (SARS-CoV-2) may present quite differently from one another: normally breathing (“silent” hypoxemia) or remarkably dyspneic; quite responsive to nitric oxide or not; deeply hypocapnic or normo/hypercapnic; and either responsive to prone position or not. Therefore, the same disease actually presents itself with impressive non-uniformity. Based on detailed observation of several cases and discussions with colleagues treating these patients, we hypothesize that the different COVID-19 patterns found at presentation in the emergency department depend on the interaction between three factors: (1) the severity of the infection, the host response, physiological reserve and comorbidities; (2) the ventilatory responsiveness of the patient to hypoxemia; (3) the time elapsed between the onset of the disease and the observation in the hospital. The interaction between these factors leads to the development of a time-related disease spectrum within two primary “phenotypes”: Type L, characterized by Low elastance (i.e., high compliance), Low ventilation-to-perfusion ratio, Low lung weight and Low recruitability and Type H, characterized by High elastance, High right-toleft shunt, High lung weight and High recruitability.
1,378 citations
••
TL;DR: It is shown that the result known as Wahlund's principle can be expressed as a simple function of genic distances among the subpopulations, and if used with caution it can be employed to recognize mixtures of seed lots.
Abstract: An excess proportion of homozygous carriers of a gene arises on bulking of reproductively isolated subpopulations. This surplus of homozygotes in the mixture, measured relative to the panmictic proportion, is caused by variation of its frequencies in the respective subpopulations. It is shown that the result known as Wahlund's principle can be expressed as a simple function of genic distances among the subpopulations. If used with caution it can be employed to recognize mixtures of seed lots. The effect of bulking can be readily discriminated from that of inbreeding. It may also be distinguished from the effect of assortative mating by analysing such distances at several gene loci. Various effects of selection may disturb inference on whether a given lot is a mixture. Hence application should be confined to the dormant seed. Isozyme loci are most suitable for such checks since complete dominance occurs only rarely. Some advantages peculiar to conifer seed are discussed.
1,373 citations
Authors
Showing all 44172 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yang Gao | 168 | 2047 | 146301 |
J. S. Lange | 160 | 2083 | 145919 |
Jens J. Holst | 160 | 1536 | 107858 |
Hans Lassmann | 155 | 724 | 79933 |
Walter Paulus | 149 | 809 | 86252 |
Arnulf Quadt | 135 | 1409 | 123441 |
Elizaveta Shabalina | 133 | 1421 | 92273 |
Ernst Detlef Schulze | 133 | 670 | 69504 |
Mark Stitt | 132 | 456 | 60800 |
Meinrat O. Andreae | 131 | 700 | 72714 |
Teja Tscharntke | 130 | 520 | 70554 |
William C. Hahn | 130 | 448 | 72191 |
Vladimir Cindro | 129 | 1157 | 82000 |
Dave Britton | 129 | 1094 | 84187 |
Johannes Haller | 129 | 1178 | 84813 |