title: DAISY: picking synthetic lethals from cancer genomes.
abstract: A better understanding of genetic interactions in cancer might help identify new therapeutic approaches that exploit the concept of synthetic lethality. Ruppin and colleagues have developed a new computational method, DAISY, that predicts such interactions and potentially facilitates the delineation and validation of comprehensive genetic interaction networks.
authors.affiliation: Systems Biology Ireland, Conway Institute, University College Dublin, Dublin 4, Ireland.
authors.forename: Colm J
authors.initials: CJ
authors.lastname: Ryan
authors.affiliation: The Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London SW3 6JB, UK.
authors.forename: Christopher J
authors.initials: CJ
authors.lastname: Lord
authors.affiliation: The Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London SW3 6JB, UK. Electronic address: alana@icr.ac.uk.
authors.forename: Alan
authors.initials: A
authors.lastname: Ashworth
mesh_terms: D019295:Computational Biology / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D006801:Humans; D009369:Neoplasms / Q000235:genetics*