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Bioinformatics database infrastructure for biotechnology research.

Eleanor J Whitfield1, Manuela Pruess, Rolf Apweiler

  • 1EMBL-EBI, Wellcome Trust Genome Campus, Hinxton Hall, Hinxton, Cambs CB10 1SD, UK. eleanor@ebi.ac.uk

Journal of Biotechnology
|June 8, 2006
PubMed
Summary
This summary is machine-generated.

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Biotechnology researchers can access diverse databases for nucleotide and protein sequences, structures, and gene information. Specialized and integrated resources facilitate complex data queries and comparisons for scientific discovery.

Area of Science:

  • Biotechnology
  • Bioinformatics
  • Genomics
  • Proteomics

Background:

  • Numerous databases offer critical data for biotechnological research.
  • These resources can be categorized based on their primary data content.
  • Key types include nucleotide sequences, protein sequences, and specialized biological information.

Purpose of the Study:

  • To categorize and describe the landscape of available biological databases.
  • To highlight the diversity of data resources for researchers.
  • To emphasize the utility of specialized and integrated databases.

Main Methods:

  • Review and categorization of existing biological databases.
  • Classification based on core data types (e.g., sequences, structures).

Related Experiment Videos

  • Identification of specialized databases (e.g., gene features, organisms) and integrated platforms.

    • Main Results:

    • Databases primarily focus on nucleotide or protein sequences.
    • Specialized databases cover protein structures, gene features, and specific organisms.
    • Integrated databases allow cross-data type queries and comparisons.

    Conclusions:

    • A wide array of biological databases supports biotechnological research.
    • Specialized and integrated resources enhance data analysis capabilities.
    • Effective utilization of these databases is crucial for scientific advancement.