Related Experiment Video
Updated: Oct 9, 2026
Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
GREVE: Genomic Recurrent Event ViEwer to assist the identification of patterns across individual cancer samples
Jean-Baptiste Cazier1, Chris C Holmes, John Broxholme
1Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, OX3 7BN and Department of Statistics, University of Oxford, 1 South Parks Road, OX1 3TG, Oxford, UK.
Summary:
GREVE has been developed to assist with the identification of recurrent genomic aberrations across cancer samples. The exact characterization of such aberrations remains a challenge despite the availability of increasing amount of data, from SNParray to next-generation sequencing. Furthermore, genomic aberrations in cancer are especially difficult to handle because they are, by nature, unique to the patients. However, their recurrence in specific regions of the genome has been shown to reflect their relevance in the development of tumors. GREVE makes use of previously characterized events to identify such regions and focus any further analysis.
Availability:
GREVE is available through a web interface and open-source application (http://www.well.ox.ac.uk/GREVE).
