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Related Experiment Videos

Ensembl 2004.

E Birney1, D Andrews, P Bevan

  • 1Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.

Nucleic Acids Research
|December 19, 2003
PubMed
Summary

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This summary is machine-generated.

The Ensembl database offers a comprehensive bioinformatics framework for organizing and annotating large genome sequences. It provides integrated data access and analysis tools for researchers worldwide.

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Large-scale genome sequencing generates vast amounts of biological data.
  • Organizing and annotating genomic sequences is crucial for biological research.
  • Existing bioinformatics tools require integration for comprehensive genome analysis.

Purpose of the Study:

  • To present the Ensembl database as an integrated bioinformatics framework for genome annotation.
  • To highlight Ensembl's capabilities in handling large genomes and associated data.
  • To showcase recent developments in integrating genomes with external data.

Main Methods:

  • Development of an open-source software engineering project for genome data management.
  • Implementation of a portable system capable of handling very large genomes.

Related Experiment Videos

  • Provision of access via interactive website, web services, and flat files.
  • Global distribution of Ensembl installations in academic and commercial settings.

    • Main Results:

    • Ensembl provides a comprehensive and integrated source of genome annotation for multiple species.
    • The system supports a wide range of facilities, including sequence analysis, data storage, and visualization.
    • Ensembl facilitates closer integration between genome data and external biological information.

    Conclusions:

    • Ensembl serves as a vital resource for organizing and annotating large genome sequences.
    • Its open-source nature and flexible accessibility promote widespread adoption in biological research.
    • Ongoing developments enhance Ensembl's utility by integrating diverse biological datasets.