DOI: 10.1093/bioinformatics/btr703 ISSN:

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

Tim Carver, Simon R. Harris, Matthew Berriman, Julian Parkhill, Jacqueline A. McQuillan
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Molecular Biology
  • Biochemistry
  • Statistics and Probability
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Abstract

Motivation: High-throughput sequencing (HTS) technologies have made low-cost sequencing of large numbers of samples commonplace. An explosion in the type, not just number, of sequencing experiments has also taken place including genome re-sequencing, population-scale variation detection, whole transcriptome sequencing and genome-wide analysis of protein-bound nucleic acids.

Results: We present Artemis as a tool for integrated visualization and computational analysis of different types of HTS datasets in the context of a reference genome and its corresponding annotation.

Availability: Artemis is freely available (under a GPL licence) for download (for MacOSX, UNIX and Windows) at the Wellcome Trust Sanger Institute websites: http://www.sanger.ac.uk/resources/software/artemis/.

Contact:  artemis@sanger.ac.uk; tjc@sanger.ac.uk

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