An Entity of Type: societal event, from Named Graph: http://dbpedia.org, within Data Space: dbpedia.org

The Pacific Symposium on Biocomputing (PSB) is an annual multidisciplinary scientific meeting co-founded in 1996 by Dr. Teri Klein, Dr. Lawrence Hunter and Sharon Surles. The conference is to presentation and discuss research in the theory and application of computational methods for biology. Papers and presentations are peer reviewed and published.PSB brings together researchers from the US and the Asian Pacific nations, to exchange research results and address open issues in all aspects of computational biology. PSB is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.

Property Value
dbo:abstract
  • The Pacific Symposium on Biocomputing (PSB) is an annual multidisciplinary scientific meeting co-founded in 1996 by Dr. Teri Klein, Dr. Lawrence Hunter and Sharon Surles. The conference is to presentation and discuss research in the theory and application of computational methods for biology. Papers and presentations are peer reviewed and published.PSB brings together researchers from the US and the Asian Pacific nations, to exchange research results and address open issues in all aspects of computational biology. PSB is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. The PSB aims for "critical mass" in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders in the emerging areas and targeted to provide a forum for publication and discussion of research in biocomputing's topics. Since 2017 the Research Parasite Award has been announced and presented annually at the Symposium to recognize scientists who study previously-published data in ways not anticipated by the researchers who first generated it. An endowment for the award and sponsorship has been provided for the Junior Parasite award winner to attend the symposium and presentation. (en)
dbo:location
dbo:thumbnail
dbo:wikiPageExternalLink
dbo:wikiPageID
  • 8566947 (xsd:integer)
dbo:wikiPageLength
  • 3385 (xsd:nonNegativeInteger)
dbo:wikiPageRevisionID
  • 1123233788 (xsd:integer)
dbo:wikiPageWikiLink
dbp:frequency
  • Annually (en)
dbp:location
  • Hawaii, United States (en)
dbp:logo
  • File:Pacific_Symposium_on_Biocomputing_logo.gif (en)
dbp:next
  • PSB 2021 (en)
dbp:organised
  • Tiffany Murray (en)
dbp:prev
  • PSB 2020 (en)
dbp:website
dbp:wikiPageUsesTemplate
dcterms:subject
gold:hypernym
rdf:type
rdfs:comment
  • The Pacific Symposium on Biocomputing (PSB) is an annual multidisciplinary scientific meeting co-founded in 1996 by Dr. Teri Klein, Dr. Lawrence Hunter and Sharon Surles. The conference is to presentation and discuss research in the theory and application of computational methods for biology. Papers and presentations are peer reviewed and published.PSB brings together researchers from the US and the Asian Pacific nations, to exchange research results and address open issues in all aspects of computational biology. PSB is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. (en)
rdfs:label
  • Pacific Symposium on Biocomputing (en)
owl:sameAs
prov:wasDerivedFrom
foaf:depiction
foaf:homepage
foaf:isPrimaryTopicOf
is dbo:wikiPageDisambiguates of
is dbo:wikiPageRedirects of
is dbo:wikiPageWikiLink of
is foaf:primaryTopic of
Powered by OpenLink Virtuoso    This material is Open Knowledge     W3C Semantic Web Technology     This material is Open Knowledge    Valid XHTML + RDFa
This content was extracted from Wikipedia and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License