Complex search, ranks, and biological discovery: A user's perspective

Paolo Romano, Luciano Milanesi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This chapter presents a users perspective regarding the potential applications of the Search Computing technology for biomedical discovery. Recent research on human inherited diseases has increased the number of information resources useful to bridge medicine and biology and to associate genotype and phenotype. The application of the Search Computing technology is discussed in the frame of a number of techniques that can be applied in Life Sciences for managing distributed biomedical data: Federated databases, Grids, Cloud computing, Web Services, Workflow. Particular attention is then devoted to challenges and opportunities deriving from the application of ranking and the management of missing information. Finally, the definition of a standard score function, that could be adopted by all service providers in order to merge all the collected scores for the Search Computing, and the combined use of workflow management systems and Search Computing, are discussed.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages226-235
Number of pages10
Volume6585 LNCS
DOIs
Publication statusPublished - 2011
EventWorkshop on Search Computing - Trends and Developments, SeCo 2010 - Como, Milan, Italy
Duration: May 25 2010May 31 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6585 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherWorkshop on Search Computing - Trends and Developments, SeCo 2010
CountryItaly
CityComo, Milan
Period5/25/105/31/10

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Keywords

  • Bioinformatics
  • Grid computing
  • Search Computing
  • web services
  • workflow

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Romano, P., & Milanesi, L. (2011). Complex search, ranks, and biological discovery: A user's perspective. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6585 LNCS, pp. 226-235). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6585 LNCS). https://doi.org/10.1007/978-3-642-19668-3_21