A user-friendly online tool that allows rapid assessment of gene expression levels, identification of co-expressed genes and association with outcome for single genes, gene sets or gene signatures in an 1881-sample breast cancer data set. Moreover, GOBO offers the possibility of investigation of gene expression levels in breast cancer subgroups and breast cancer cell lines for gene sets, as well as creation of potential metagenes based on iterative correlation analysis to a prototype gene. The design and implementation of GOBO facilitate easy incorporation of additional query functions and applications, as well as additional data sets irrespective of tumor type and array platform in the form of precompiled R-data sets.
Department of Oncology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden; CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden
GOBO funding source(s)
The present study was supported by the Swedish Cancer Society, the Foundation for Strategic Research through the Lund Strategic Centre for Translational Cancer Research (CREATE Health), and the Swedish Research Council.