Skip to main content

Biological Resource Discovery

  • Reference work entry
  • First Online:
  • 9 Accesses

Definition

Resources for the Life Sciences include various expedients including (access to) data stored in flat files or databases (e.g., a query form or a textual search engine), links between resources (index or hyperlink), or services such as applications or tools. Resource discovery is the process of identifying and locating existing resources that have a particular property. Machine-based resource discovery relies on crawling, clustering, and classifying resources discovered on the Web automatically. Resource discovery systems allow the expression of queries to identify and locate resources that implement scientific tasks and have properties of interest.

Historical Background

Resource selection relies on the identification of the resources suitable to achieve each task and the ability to compose the selected resources into a meaningful and efficient executable protocol. Metadata constitute the core information requisite to evaluate the suitability of Life Sciences resources to...

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Recommended Reading

  1. Barbosa L, Tandon S, Freire J. Automatically constructing a directory of molecular biology databases. In: Data integration in the life sciences. DILS 2007. LNCS, vol. 4544. Berlin: Springer. p. 6–16.

    Google Scholar 

  2. Clark T, Martin S, Liefeld T. Graphically distributed object identification for biological knowledge bases. Brief Bioinform. 2004;5(1):59–70.

    Article  Google Scholar 

  3. Cohen-Boulakia S, Biton O, Davidson S, Froidevaux C. BioGuideSRS: querying multiple sources with a user-centric perspective. Bioinformatics. 2006;23(10):1301–3.

    Article  Google Scholar 

  4. Cohen-Boulakia S, Davidson S, Froidevaux C, Lacroix Z, Vidal ME. Path-based systems to guide scientists in the maze of biological resources. J Bioinforma Comput Biol. 2006;4(5):1069–95.

    Article  Google Scholar 

  5. Etsold T, Harris H, Beaulah S. Chapter 5 – SRS: an integration platform for databanks and analysis tools in bioinformatics. In: Lacroix Z, Critchlow T, editors. Bioinformatics: managing scientific data. Los Altos: Morgan Kaufmann; 2003. p. 109–46.

    Chapter  Google Scholar 

  6. Fox GC, Gannon D, editors. Concurrency and Computation: Practice and Experience, Special Issue: Workflow in Grid Systems, vol. 18(10). Chichester: Wiley; 2006.

    Google Scholar 

  7. Galperin MY. The molecular biology database collection: 2007 update. Nucleic Acids Res. 2007;35(Database issue):D3–4.

    Article  Google Scholar 

  8. Good BM, Wilkinson MD. The life sciences semantic web is full of creeps! Brief Bioinform. 2006;7(3):275–86.

    Article  Google Scholar 

  9. Kawa EA, Senger M, Wilkinson MD. BioMoby extensions to the Taverna workflow management and enactment software. BMC Bioinf. 2006;7(1):523.

    Article  Google Scholar 

  10. Lacroix Z, Raschid L, Eckman B. Techniques for optimization of queries on integrated biological resources. J Bioinforma Comput Biol. 2004;2(2):375–411.

    Article  Google Scholar 

  11. Ngu AHH, Rocco D, Critchlow T, Buttler D. Automatic discovery and inferencing of complex bioinformatics web interfaces. World Wide Web. 2005;8(4):463–93.

    Article  Google Scholar 

  12. Wolstencroft K, Alper P, Hull D, Wroe C, Lord P, Stevens R, Goble C. The myGrid ontology: bioinformatics service discovery. Int J Bioinforma Res Appl. 2007;3(3):303–25.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zoé Lacroix .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Lacroix, Z. et al. (2018). Biological Resource Discovery. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1560

Download citation

Publish with us

Policies and ethics