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Pacific Symposium on Biocomputing

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Pacific Symposium on Biocomputing
FrequencyAnnually
Location(s)Hawaii, United States
Years active28[1]
Previous eventPSB 2024
Next eventPSB 2025
Organised byTiffany Murray (2015 coordinator)
Websitepsb.stanford.edu

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.[2] 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.[3] 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[4] 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.[5] Since the 2019 award year, the Research Parasite Award has been supported in part by an endowment housed at the University of Pennsylvania. Research Symbiont Award[6] is another award presented annually at the Symposium to recognize exemplars in the practice of data sharing.

References

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  1. ^ "PSB 1996 Conference Schedule". Retrieved 9 February 2015.
  2. ^ "PSB '96 Meeting". Retrieved 29 March 2022.
  3. ^ "PSB Proceedings". Retrieved 9 February 2015.
  4. ^ "The Research Parasite Awards". researchparasite.com. Retrieved 6 January 2020.
  5. ^ Duvallet, Claire (2020-01-01). "Data detectives, self-love, and humility: a research parasite's perspective". GigaScience. 9 (1). doi:10.1093/gigascience/giz148. PMC 6940423. PMID 31897481.
  6. ^ "The Research Symbiont Awards". researchsymbionts.org. Retrieved 14 November 2024.
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