Institution
University of Basel
Education•Basel, Basel-Stadt, Switzerland•
About: University of Basel is a education organization based out in Basel, Basel-Stadt, Switzerland. It is known for research contribution in the topics: Population & Transplantation. The organization has 25084 authors who have published 52975 publications receiving 2388002 citations. The organization is also known as: Universität Basel & Basel University.
Topics: Population, Transplantation, Gene, Poison control, Quantum dot
Papers published on a yearly basis
Papers
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TL;DR: This research presents a meta-analysis of Anatomia e Istologia Patologica, a large quantity of which has never before been published in a peer-reviewed journal, which aims to provide real-time information about the immune system’s response to disease.
4,655 citations
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TL;DR: In the Global Burden of Disease Study 2013 (GBD 2013) as mentioned in this paper, the authors estimated the quantities for acute and chronic diseases and injuries for 188 countries between 1990 and 2013.
4,510 citations
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Stanford University1, Yale University2, Johns Hopkins University School of Medicine3, Washington University in St. Louis4, McGill University5, Merck & Co.6, Université catholique de Louvain7, Université libre de Bruxelles8, University of California, Berkeley9, University of Salamanca10, University of Basel11, University of Padua12, Goethe University Frankfurt13, National Institutes of Health14, Aberystwyth University15, Concordia University16, Katholieke Universiteit Leuven17
TL;DR: It is shown that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment, and less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal Growth in four of the tested conditions.
Abstract: Determining the effect of gene deletion is a fundamental approach to understanding gene function. Conventional genetic screens exhibit biases, and genes contributing to a phenotype are often missed. We systematically constructed a nearly complete collection of gene-deletion mutants (96% of annotated open reading frames, or ORFs) of the yeast Saccharomyces cerevisiae. DNA sequences dubbed 'molecular bar codes' uniquely identify each strain, enabling their growth to be analysed in parallel and the fitness contribution of each gene to be quantitatively assessed by hybridization to high-density oligonucleotide arrays. We show that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment. Less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal growth in four of the tested conditions. Our results validate the yeast gene-deletion collection as a valuable resource for functional genomics.
4,328 citations
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Université catholique de Louvain1, McGill University2, Stanford University3, Pierre-and-Marie-Curie University4, Ludwig Maximilian University of Munich5, Centre national de la recherche scientifique6, École Normale Supérieure7, Washington University in St. Louis8, John Radcliffe Hospital9, Max Planck Society10, University of Basel11, University of Manchester12
TL;DR: The genome of the yeast Saccharomyces cerevisiae has been completely sequenced through a worldwide collaboration and provides information about the higher order organization of yeast's 16 chromosomes and allows some insight into their evolutionary history.
Abstract: The genome of the yeast Saccharomyces cerevisiae has been completely sequenced through a worldwide collaboration. The sequence of 12,068 kilobases defines 5885 potential protein-encoding genes, approximately 140 genes specifying ribosomal RNA, 40 genes for small nuclear RNA molecules, and 275 transfer RNA genes. In addition, the complete sequence provides information about the higher order organization of yeast's 16 chromosomes and allows some insight into their evolutionary history. The genome shows a considerable amount of apparent genetic redundancy, and one of the major problems to be tackled during the next stage of the yeast genome project is to elucidate the biological functions of all of these genes.
4,254 citations
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TL;DR: The latest version of the SWISS-MODEL expert system for protein structure modelling is described, which makes extensive use of model quality estimation for selection of the most suitable templates and provides estimates of the expected accuracy of the resulting models.
Abstract: Protein structure homology modelling has become a routine technique to generate 3D models for proteins when experimental structures are not available. Fully automated servers such as SWISS-MODEL with user-friendly web interfaces generate reliable models without the need for complex software packages or downloading large databases. Here, we describe the latest version of the SWISS-MODEL expert system for protein structure modelling. The SWISS-MODEL template library provides annotation of quaternary structure and essential ligands and co-factors to allow for building of complete structural models, including their oligomeric structure. The improved SWISS-MODEL pipeline makes extensive use of model quality estimation for selection of the most suitable templates and provides estimates of the expected accuracy of the resulting models. The accuracy of the models generated by SWISS-MODEL is continuously evaluated by the CAMEO system. The new web site allows users to interactively search for templates, cluster them by sequence similarity, structurally compare alternative templates and select the ones to be used for model building. In cases where multiple alternative template structures are available for a protein of interest, a user-guided template selection step allows building models in different functional states. SWISS-MODEL is available at http://swissmodel.expasy.org/.
4,235 citations
Authors
Showing all 25374 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yang Yang | 171 | 2644 | 153049 |
Martin Karplus | 163 | 831 | 138492 |
Frank J. Gonzalez | 160 | 1144 | 96971 |
Paul Emery | 158 | 1314 | 121293 |
Matthias Egger | 152 | 901 | 184176 |
Don W. Cleveland | 152 | 444 | 84737 |
Ashok Kumar | 151 | 5654 | 164086 |
Kurt Wüthrich | 143 | 739 | 103253 |
Thomas J. Smith | 140 | 1775 | 113919 |
Robert Huber | 139 | 671 | 73557 |
Peter Robmann | 135 | 1438 | 97569 |
Ernst Detlef Schulze | 133 | 670 | 69504 |
Michael Levine | 129 | 586 | 55963 |
Claudio Santoni | 129 | 1027 | 80598 |
Pablo Garcia-Abia | 126 | 989 | 78690 |