Institution
University of Costa Rica
Education•San José, Costa Rica•
About: University of Costa Rica is a education organization based out in San José, Costa Rica. It is known for research contribution in the topics: Population & Venom. The organization has 9817 authors who have published 16781 publications receiving 238208 citations. The organization is also known as: UCR & Universidad de Costa Rica.
Topics: Population, Venom, Antivenom, Snake venom, Context (language use)
Papers published on a yearly basis
Papers
More filters
••
TL;DR: Axioms for non-unital spectral triples, extending those introduced in the unital case by Connes, are proposed in this paper, and for the sake of their importance in noncommutative quantum field theory, the spaces R2N endowed with Moyal products are intensively investigated.
Abstract: Axioms for nonunital spectral triples, extending those introduced in the unital case by Connes, are proposed. As a guide, and for the sake of their importance in noncommutative quantum field theory, the spaces R2N endowed with Moyal products are intensively investigated. Some physical applications, such as the construction of noncommutative Wick monomials and the computation of the Connes–Lott functional action, are given for these noncommutative hyperplanes.
275 citations
••
TL;DR: An integrated multifocal approach, currently being fostered by the Global Snake Bite Initiative of the International Society on Toxinology and by the World Health Organization, will help to alleviate the enormous burden of human suffering inflicted by snakebite envenoming.
275 citations
••
University of Montana1, Oregon State University2, University of California, San Diego3, Wageningen University and Research Centre4, Sookmyung Women's University5, University of Nantes6, Acharya Nagarjuna University7, Ensenada Center for Scientific Research and Higher Education8, Universidad Autónoma de Chiriquí9, University of Costa Rica10, Auburn University11, Victoria University of Wellington12, University of Johannesburg13, University of Münster14, John Innes Centre15
TL;DR: This protocol describes how to use GNPS to explore uploaded metabolomics data, and provides step-by-step instructions for creating reproducible, high-quality molecular networks.
Abstract: Global Natural Product Social Molecular Networking (GNPS) is an interactive online small molecule-focused tandem mass spectrometry (MS2) data curation and analysis infrastructure. It is intended to provide as much chemical insight as possible into an untargeted MS2 dataset and to connect this chemical insight to the user's underlying biological questions. This can be performed within one liquid chromatography (LC)-MS2 experiment or at the repository scale. GNPS-MassIVE is a public data repository for untargeted MS2 data with sample information (metadata) and annotated MS2 spectra. These publicly accessible data can be annotated and updated with the GNPS infrastructure keeping a continuous record of all changes. This knowledge is disseminated across all public data; it is a living dataset. Molecular networking-one of the main analysis tools used within the GNPS platform-creates a structured data table that reflects the molecular diversity captured in tandem mass spectrometry experiments by computing the relationships of the MS2 spectra as spectral similarity. This protocol provides step-by-step instructions for creating reproducible, high-quality molecular networks. For training purposes, the reader is led through a 90- to 120-min procedure that starts by recalling an example public dataset and its sample information and proceeds to creating and interpreting a molecular network. Each data analysis job can be shared or cloned to disseminate the knowledge gained, thus propagating information that can lead to the discovery of molecules, metabolic pathways, and ecosystem/community interactions.
274 citations
••
King's College London1, Stanford University2, State University of New York Upstate Medical University3, Washington University in St. Louis4, Nathan Kline Institute for Psychiatric Research5, New York University6, University of Tsukuba7, Virginia Commonwealth University8, National Institute for Health and Welfare9, University of Helsinki10, Johns Hopkins University11, University of Indonesia12, Cardiff University13, University of Texas Health Science Center at San Antonio14, University of Western Australia15, Pierre-and-Marie-Curie University16, University of Queensland17, Rutgers University18, Laval University19, Harvard University20, Veterans Health Administration21, University of Michigan22, University College London23, NorthShore University HealthSystem24, Uppsala University25, University of Kiel26, University of California, San Francisco27, University of Washington28, University of California, San Diego29, National Taiwan University30, Tokyo Metropolitan Matsuzawa Hospital31, Georgetown University32, Queen's University Belfast33, National and Kapodistrian University of Athens34, University of Costa Rica35, Universidad Autónoma de la Ciudad de México36, University of Bonn37, University of Pittsburgh38, Karolinska Institutet39, University of Paris40, French Institute of Health and Medical Research41, University of Iowa42, Icahn School of Medicine at Mount Sinai43, University of Toronto44, University of Southern California45, University of Pretoria46, Weizmann Institute of Science47, Queen Mary University of London48, Columbia University49
TL;DR: The primary analysis met empirical criteria for ‘aggregate’ genome-wide significance, indicating that some or all of 10 bins are likely to contain loci linked to SCZ, including regions of chromosomes 1, 2q, 3q, 4q, 5q, 8p and 10q.
Abstract: A genome scan meta-analysis (GSMA) was carried out on 32 independent genome-wide linkage scan analyses that included 3255 pedigrees with 7413 genotyped cases affected with schizophrenia (SCZ) or related disorders. The primary GSMA divided the autosomes into 120 bins, rank-ordered the bins within each study according to the most positive linkage result in each bin, summed these ranks (weighted for study size) for each bin across studies and determined the empirical probability of a given summed rank (P(SR)) by simulation. Suggestive evidence for linkage was observed in two single bins, on chromosomes 5q (142-168 Mb) and 2q (103-134 Mb). Genome-wide evidence for linkage was detected on chromosome 2q (119-152 Mb) when bin boundaries were shifted to the middle of the previous bins. The primary analysis met empirical criteria for 'aggregate' genome-wide significance, indicating that some or all of 10 bins are likely to contain loci linked to SCZ, including regions of chromosomes 1, 2q, 3q, 4q, 5q, 8p and 10q. In a secondary analysis of 22 studies of European-ancestry samples, suggestive evidence for linkage was observed on chromosome 8p (16-33 Mb). Although the newer genome-wide association methodology has greater power to detect weak associations to single common DNA sequence variants, linkage analysis can detect diverse genetic effects that segregate in families, including multiple rare variants within one locus or several weakly associated loci in the same region. Therefore, the regions supported by this meta-analysis deserve close attention in future studies.
274 citations
••
TL;DR: It is proposed that Brucella has developed a stealth strategy through PAMPs reduction, modification and hiding, ensuring by this manner low stimulatory activity and toxicity for cells.
Abstract: Background
To unravel the strategy by which Brucella abortus establishes chronic infections, we explored its early interaction with innate immunity.
272 citations
Authors
Showing all 9922 results
Name | H-index | Papers | Citations |
---|---|---|---|
Alberto Ascherio | 136 | 462 | 69578 |
Gervasio Gomez | 133 | 1844 | 99695 |
Myron M. Levine | 123 | 789 | 60865 |
Hong-Cai Zhou | 114 | 489 | 66320 |
Edward O. Wilson | 101 | 406 | 89994 |
Mary Claire King | 100 | 336 | 47454 |
Olga Martín-Belloso | 86 | 384 | 23428 |
José María Gutiérrez | 84 | 607 | 26779 |
Cesare Montecucco | 84 | 382 | 27738 |
Rodolphe Clérac | 78 | 506 | 22604 |
Kim R. Dunbar | 74 | 470 | 20262 |
Paul J. Hanson | 70 | 251 | 19504 |
Hannia Campos | 69 | 210 | 15164 |
Jean-Pierre Gorvel | 67 | 231 | 15005 |
F. Albert Cotton | 66 | 1023 | 27647 |