Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Elvira Mitraka"'
Autor:
Andra Waagmeester, Gregory Stupp, Sebastian Burgstaller-Muehlbacher, Benjamin M Good, Malachi Griffith, Obi L Griffith, Kristina Hanspers, Henning Hermjakob, Toby S Hudson, Kevin Hybiske, Sarah M Keating, Magnus Manske, Michael Mayers, Daniel Mietchen, Elvira Mitraka, Alexander R Pico, Timothy Putman, Anders Riutta, Nuria Queralt-Rosinach, Lynn M Schriml, Thomas Shafee, Denise Slenter, Ralf Stephan, Katherine Thornton, Ginger Tsueng, Roger Tu, Sabah Ul-Hasan, Egon Willighagen, Chunlei Wu, Andrew I Su
Publikováno v:
eLife, Vol 9 (2020)
Wikidata is a community-maintained knowledge base that has been assembled from repositories in the fields of genomics, proteomics, genetic variants, pathways, chemical compounds, and diseases, and that adheres to the FAIR principles of findability, a
Externí odkaz:
https://doaj.org/article/b14fa837a56c43828aa7e58dc46f013c
Autor:
Susan M. Bello, Mary Shimoyama, Elvira Mitraka, Stanley J. F. Laulederkind, Cynthia L. Smith, Janan T. Eppig, Lynn M. Schriml
Publikováno v:
Disease Models & Mechanisms, Vol 11, Iss 3 (2018)
Model organisms are vital to uncovering the mechanisms of human disease and developing new therapeutic tools. Researchers collecting and integrating relevant model organism and/or human data often apply disparate terminologies (vocabularies and ontol
Externí odkaz:
https://doaj.org/article/64f926f6f22e4aec8dd4d63076a8662d
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 9, Iss 2, p e0003479 (2015)
BACKGROUND:Ontologies represent powerful tools in information technology because they enhance interoperability and facilitate, among other things, the construction of optimized search engines. To address the need to expand the toolbox available for t
Externí odkaz:
https://doaj.org/article/9c5ad01ea5274282b6fd48d37f81a173
Autor:
Elvira Mitraka
Το κουνούπι είναι ένας από τους πιο επικίνδυνους οργανισμούς για τον άνθρωπο, λόγω της ικανότητάς του να δρα ως φορέας σε διάφορες ασθέν
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a962daa665cccea5e40b82b93cb3387e
https://doi.org/10.12681/eadd/34703
https://doi.org/10.12681/eadd/34703
Autor:
Shoshannah Ball, Rebecca Tauber, Marcus C. Chibucos, Pascale Gaudet, Elizabeth T. Hobbs, Elvira Mitraka, Dustin Olley, Suvarna Nadendla, Christopher J. Mungall, Ivan Erill, Deborah A. Siegele, Michelle G. Giglio, James C. Hu, James B. Munro, Lynn M. Schriml
Publikováno v:
Nucleic Acids Research
Nucleic acids research, vol 47, iss D1
Giglio, Michelle; Tauber, Rebecca; Nadendla, Suvarna; Munro, James; Olley, Dustin; Ball, Shoshannah; et al.(2019). ECO, the Evidence & Conclusion Ontology: community standard for evidence information.. Nucleic acids research, 47(D1), D1186-D1194. doi: 10.1093/nar/gky1036. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/8r16010f
Nucleic acids research, vol 47, iss D1
Giglio, Michelle; Tauber, Rebecca; Nadendla, Suvarna; Munro, James; Olley, Dustin; Ball, Shoshannah; et al.(2019). ECO, the Evidence & Conclusion Ontology: community standard for evidence information.. Nucleic acids research, 47(D1), D1186-D1194. doi: 10.1093/nar/gky1036. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/8r16010f
The Evidence and Conclusion Ontology (ECO) contains terms (classes) that describe types of evidence and assertion methods. ECO terms are used in the process of biocuration to capture the evidence that supports biological assertions (e.g. gene product
Autor:
Sabah Ul-Hasan, Andrew I. Su, Michael Mayers, Lynn M. Schriml, Daniel Mietchen, Ginger Tsueng, Thomas Shafee, Roger Tu, Malachi Griffith, Egon Willighagen, Ralf Stephan, Chunlei Wu, Toby S. Hudson, Gregory S. Stupp, Sarah M. Keating, Denise Slenter, Sebastian Burgstaller-Muehlbacher, Kristina Hanspers, Andra Waagmeester, Henning Hermjakob, Núria Queralt-Rosinach, Alexander R. Pico, Anders Riutta, Timothy E. Putman, Elvira Mitraka, Kevin Hybiske, Magnus Manske, Benjamin M. Good, Obi L. Griffith, Katherine Thornton
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bee33d984e5d18be7a5fa190f5d1c33
https://doi.org/10.7554/elife.52614.sa2
https://doi.org/10.7554/elife.52614.sa2
Autor:
Andra Waagmeester, Gregory Stupp, Sebastian Burgstaller-Muehlbacher, Benjamin M. Good, Malachi Griffith, Obi Griffith, Kristina Hanspers, Henning Hermjakob, Toby S. Hudson, Kevin Hybiske, Sarah M. Keating, Magnus Manske, Michael Mayers, Daniel Mietchen, Elvira Mitraka, Alexander R. Pico, Timothy Putman, Anders Riutta, Núria Queralt-Rosinach, Lynn M. Schriml, Thomas Shafee, Denise Slenter, Ralf Stephan, Katherine Thornton, Ginger Tsueng, Roger Tu, Sabah Ul-Hasan, Egon Willighagen, Chunlei Wu, Andrew I. Su
Wikidata is a community-maintained knowledge base that epitomizes the FAIR principles of Findability, Accessibility, Interoperability, and Reusability. Here, we describe the breadth and depth of biomedical knowledge contained within Wikidata, assembl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb4dedb45fd7af5462763035a5e96582
Autor:
Siobhan Kibbey, Mike Schor, Becky Tauber, Victor Felix, Nicole Campion, Katharine Bisordi, Linda Jeng, Richard Lichenstein, David B. Kurland, Cynthia F. Bearer, Connor P. Oates, Michelle G. Giglio, Lance Nickle, Lynn M. Schriml, Carol L. Greene, James B. Munro, Christopher Le, Elvira Mitraka, Brooke Hyman, Poorna Sreekumar
Publikováno v:
Nucleic Acids Research
The Human Disease Ontology (DO) (http://www.disease-ontology.org), database has undergone significant expansion in the past three years. The DO disease classification includes specific formal semantic rules to express meaningful disease models and ha
Autor:
Mary Shimoyama, Stanley J. F. Laulederkind, Janan T. Eppig, Lynn M. Schriml, Cynthia L. Smith, Elvira Mitraka, Susan M. Bello
Publikováno v:
Disease Models & Mechanisms.
Model organisms are vital to uncovering the mechanisms of human disease and developing new therapeutic tools. Researchers collecting and integrating relevant model organism and/or human data often apply disparate terminologies (vocabularies and ontol
Autor:
George K. Christophides, Inga Siden-Kiamos, Christos Louis, Elvira Mitraka, Stavros Stathopoulos
Publikováno v:
Pathogens and Global Health
Pathogens and Global Health; Vol 107
Pathogens and Global Health; Vol 107
Arthropod borne diseases cause significant human morbidity and mortality and, therefore, efficient measures to control transmission of the disease agents would have great impact on human health. One strategy to achieve this goal is based on the manip