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Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data.

Tim Carver1, Simon R Harris, Matthew Berriman

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

Bioinformatics (Oxford, England)
|December 27, 2011
PubMed
Summary

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Artemis is a new tool for analyzing high-throughput sequencing data. It integrates and visualizes various datasets alongside reference genomes and annotations.

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • High-throughput sequencing (HTS) enables cost-effective analysis of numerous samples.
  • Diverse HTS applications include genome re-sequencing, population variation studies, transcriptome analysis, and ChIP-seq.

Purpose of the Study:

  • To introduce Artemis, a software tool designed for HTS data analysis.
  • To provide integrated visualization and computational analysis capabilities for HTS datasets.

Main Methods:

  • Artemis facilitates the integrated visualization of diverse HTS datasets.
  • The tool enables computational analysis within the context of a reference genome and its annotation.

Main Results:

  • Artemis offers a unified platform for examining various HTS data types.

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  • The software supports the analysis of genome re-sequencing, variation detection, transcriptome, and protein-bound nucleic acid data.

    • Conclusions:

    • Artemis provides a valuable resource for researchers utilizing HTS technologies.
    • The tool enhances the interpretation of complex genomic datasets.