Database Challenges for Genome Information in the Post Sequencing Phase Moussouni

  • Fouzia Moussouni
  • Norman W. Paton
  • Andy Hayes
  • Steve Oliver
  • Carole A. Goble
  • Andy Brass
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1677)

Abstract

Genome sequencing projects are making available to scientists complete records of the genetic make-up of organisms. The resulting data sets, along with the results of experiments that seek systematically to find new information on the functions of genes, will present numerous opportunities and challenges to biologists. However, the complexity and variety of both the data and the analyses required over such data sets also pose significant challenges to computer scientists charged with providing effective information management systems for use with genome data. This paper presents models for the sorts of information that are being produced on genomes and genome-wide experiments, and outlines a project developing an information management system aimed at supporting analyses over genomic data. This information management system replicates data from other sources, with a view to providing an integrated environment for performing complex analyses.

Keywords

Information Management System Object Database Expression Event Biological Data Source Interactive Browser 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Fouzia Moussouni
    • 1
  • Norman W. Paton
    • 1
  • Andy Hayes
    • 2
  • Steve Oliver
    • 2
  • Carole A. Goble
    • 1
  • Andy Brass
    • 2
  1. 1.Department of Computer ScienceUniversity of ManchesterManchesterUK
  2. 2.School of Biological SciencesUniversity of ManchesterManchesterUK

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