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Related Experiment Videos

An overview of Ensembl.

Ewan Birney1, T Daniel Andrews, Paul Bevan

  • 1EMBL European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK. birney@ebi.ac.uk

Genome Research
|April 14, 2004
PubMed
Summary

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Ensembl organizes genomic data, providing genome annotation, synteny, and orthology information. This bioinformatics resource integrates diverse biological data for research, freely available as a website, flat files, and open-source software.

Area of Science:

  • Bioinformatics
  • Genomics
  • Comparative Genomics

Background:

  • Biological information is increasingly organized around large genome sequences.
  • A comprehensive source for genome annotation and inter-species relationships is needed.

Purpose of the Study:

  • To present Ensembl as a bioinformatics project for organizing biological information around genome sequences.
  • To highlight Ensembl's role in providing genome annotation, synteny, and orthology relationships.
  • To describe Ensembl as a framework for integrating diverse biological data mapped to genomic features.

Main Methods:

  • Ensembl provides an interactive website, flat files, and an open-source software system.
  • Data integration is achieved by mapping biological data onto genomic features.

Related Experiment Videos

  • Ensembl facilitates the study of synteny and orthology relationships between genomes.

    • Main Results:

    • Ensembl offers stable automatic annotation for individual genomes.
    • It establishes synteny and orthology relationships between different species.
    • Ensembl serves as a framework for integrating various biological datasets.

    Conclusions:

    • Ensembl is a comprehensive, freely available resource for genomic data organization and integration.
    • The project aims to expand integration to more model organisms and deepen cross-species analysis.
    • Ensembl seeks to improve the classification of elusive functional genomic elements.