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Volume 10 Supplement 5

Proceedings of the Bio-Ontologies Special Interest Group Workshop 2008: Knowledge in Biology

Proceedings

Edited by Nigam Shah, Phillip Lord and Susanna-Assunta Sansone

Bio-Ontologies 2008: Knowledge in Biology. Go to conference site.

Toronto, ON, Canada20 July 2008

  1. Ontology construction for any domain is a labour intensive and complex process. Any methodology that can reduce the cost and increase efficiency has the potential to make a major impact in the life sciences. T...

    Authors: Christopher Brewster, Simon Jupp, Joanne Luciano, David Shotton, Robert D Stevens and Ziqi Zhang
    Citation: BMC Bioinformatics 2009 10(Suppl 5):S1
  2. Large-scale international projects are underway to generate collections of knockout mouse mutants and subsequently to perform high throughput phenotype assessments, raising new challenges for computational res...

    Authors: Tim Beck, Hugh Morgan, Andrew Blake, Sara Wells, John M Hancock and Ann-Marie Mallon
    Citation: BMC Bioinformatics 2009 10(Suppl 5):S2
  3. The Protein Ontology (PRO) is designed as a formal and principled Open Biomedical Ontologies (OBO) Foundry ontology for proteins. The components of PRO extend from a classification of proteins on the basis of ...

    Authors: Cecilia N Arighi, Hongfang Liu, Darren A Natale, Winona C Barker, Harold Drabkin, Judith A Blake, Barry Smith and Cathy H Wu
    Citation: BMC Bioinformatics 2009 10(Suppl 5):S3
  4. Discovering that drug entities already approved for one disease are effective treatments for other distinct diseases can be highly beneficial and cost effective. To do this predictively, our conjecture is that...

    Authors: Xiaoyan A Qu, Ranga C Gudivada, Anil G Jegga, Eric K Neumann and Bruce J Aronow
    Citation: BMC Bioinformatics 2009 10(Suppl 5):S4
  5. Ontology development and the annotation of biological data using ontologies are time-consuming exercises that currently require input from expert curators. Open, collaborative platforms for biological data ann...

    Authors: Robert Hoehndorf, Joshua Bacher, Michael Backhaus, Sergio E Gregorio Jr, Frank Loebe, Kay Prüfer, Alexandr Uciteli, Johann Visagie, Heinrich Herre and Janet Kelso
    Citation: BMC Bioinformatics 2009 10(Suppl 5):S5
  6. Effective Medline database exploration is critical for the understanding of high throughput experimental results and the development of novel hypotheses about the mechanisms underlying the targeted biological ...

    Authors: Weijian Xuan, Manhong Dai, Barbara Mirel, Jean Song, Brian Athey, Stanley J Watson and Fan Meng
    Citation: BMC Bioinformatics 2009 10(Suppl 5):S6

Annual Journal Metrics

  • 2022 Citation Impact
    3.0 - 2-year Impact Factor
    4.3 - 5-year Impact Factor
    0.938 - SNIP (Source Normalized Impact per Paper)
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    2023 Speed
    19 days submission to first editorial decision for all manuscripts (Median)
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