Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data
By T. Carver, Simon R. Harris, Matthew Berriman, Julian Parkhill, Jacqueline A. McQuillan. Bioinform., 2011
1,162 citations recorded by the source corpus.
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
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/1e2d99634e7f06d8f3c5442ccdb73da63a81e923
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
In Molecular Biology
Citations in the corpus
- Best practices for variant calling in clinical sequencing (2020, background): “Visualization and review Artemis [62], Integrative Genomics Viewer [63]”