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An analysis of extensible modelling for functional genomics data.

Andrew R Jones1, Norman W Paton

  • 1School of Computer Science, University of Manchester, Manchester, UK. ajones@cs.man.ac.uk

BMC Bioinformatics
|September 29, 2005
PubMed
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This review examines functional genomics data formats, focusing on their modeling and extensibility. Recommendations are provided for selecting suitable data structures for experimental annotation to improve evolving biological data standards.

Area of Science:

  • Functional genomics
  • Bioinformatics
  • Data management

Background:

  • Diverse and evolving experimental methodologies necessitate flexible data formats.
  • Existing data formats often include extension mechanisms for unanticipated data types.
  • Rapid advancements in biological research challenge the long-term stability of data standards.

Purpose of the Study:

  • To review current data formats in functional genomics.
  • To analyze domain modeling and extensibility features of these formats.
  • To evaluate how well different formats support common data processing tasks.

Main Methods:

  • Comparative analysis of existing functional genomics data formats.
  • Focus on domain modeling and extensibility.

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  • Assessment of task support within different data structures.

    • Main Results:

    • Identification of de facto and de jure standards in functional genomics.
    • Analysis of how various data formats model biological domains.
    • Evaluation of the extensibility of different data formats.
    • Assessment of the suitability of modeling structures for specific experimental annotation tasks.

    Conclusions:

    • Recommendations for optimal data modeling structures for experimental annotation.
    • Guidance for developing new, stable data standards in functional genomics.
    • Emphasis on systematic guidelines for data format development.