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Meta-data Resources and Tools in Bioconductor

  • R. Gentleman
  • V. J. Carey
  • J. Zhang
Part of the Statistics for Biology and Health book series (SBH)

Abstract

Closing the gap between knowledge of sequence and knowledge of function requires aggressive, integrative use of biological research databases of many different types. For greatest effectiveness, analysis processes and interpretation of analytic results must be guided using relevant knowledge about the systems under investigation. However, this knowledge is often widely scattered and encoded in a variety of formats. In this section, we consider some of the different sources of biological information as well as the software tools that can be used to access these data and to integrate them into an analysis. Bioconductor provides tools for creating, distributing, and accessing annotation resources in ways that have been found effective in workflows for statistical analysis of microarray and other high-throughput assays.

Keywords

Gene Ontology Hash Table Enzyme Commission Gene Ontology Annotation Evidence Code 
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 Science+Business Media, Inc. 2005

Authors and Affiliations

  • R. Gentleman
  • V. J. Carey
  • J. Zhang

There are no affiliations available

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