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Related Experiment Videos

Viewing and annotating sequence data with Artemis.

Matt Berriman1, Kim Rutherford

  • 1The Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1SA, UK. mb4@sanger.ac.uk

Briefings in Bioinformatics
|July 9, 2003
PubMed
Summary
This summary is machine-generated.

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Artemis is a user-friendly software for annotating and viewing sequence data without needing a database. It simplifies genome analysis, especially for small genomes and novice users, aiding gene prediction and feature discovery.

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Artemis is a widely adopted software tool for sequence data annotation and visualization.
  • Its design eliminates the need for a database, facilitating direct analysis of individual sequence files.
  • This makes it particularly suitable for studying smaller genomes and chromosomes.

Purpose of the Study:

  • To provide an overview of the features and capabilities of the Artemis software.
  • To highlight its utility in manual gene prediction and genome browsing.
  • To demonstrate its application in identifying genomic features like pathogenicity islands.

Main Methods:

  • The paper describes the functionalities of Artemis for analyzing and annotating sequence data.
  • It explains how Artemis facilitates browsing of annotated genomes and integration of biological information.

Related Experiment Videos

  • The overview includes examples of Artemis's application in genome-wide studies.

    • Main Results:

    • Artemis enables straightforward analysis of sequence data with minimal formatting.
    • It supports the annotation of diverse prokaryotic and eukaryotic genomes.
    • The software aids in manual gene prediction and provides overviews of chromosomes and small genomes.

    Conclusions:

    • Artemis is a versatile and accessible tool for genome annotation and analysis.
    • Its ease of use makes it ideal for both novice users and complex genomic studies.
    • Artemis facilitates the discovery of significant genomic features, contributing to a deeper understanding of genome organization and function.