Allows to annotate, explore, and analyze gene sets that may be associated with cancer. MAGI supports interactive, bidirectional user interactions between public and private cancer genomics data sets thus enabling researchers to leverage large public data sets in the analysis of their own cancer samples while facilitating the expert-sourcing of public data sets through collaborative annotation. The software generates interactive visualizations and provides bookmarking features and interactive computation of statistical tests of association between mutations and sample annotations.
Department of Computer Science, Brown University, Providence, RI, USA; Center for Computational Molecular Biology, Brown University, Providence, RI, USA
MAGI funding source(s)
Supported by US National Institutes of Health (NIH)/NHGRI grants R01HG005690 and R01HG007069 supported by a Career Award at the Scientific Interface from the Burroughs Wellcome Fund, an Alfred P. Sloan Research Fellowship, a US National Science Foundation (NSF) CAREER Award (CCF-1053753), NSF GRFP DGE 0228243, NSF GRFP DGE 1058262 and NSF IIS-10-16623.