A computational gene co-expression search engine. SEEK provides biologists with a way to navigate the massive human expression compendium that now contains thousands of expression datasets. SEEK returns a robust ranking of co-expressed genes in the biological area of interest defined by the user's query genes. In the meantime, it also prioritizes thousands of expression datasets according to the user's query of interest. The unique strengths of SEEK include its support for multi-gene query and cross-platform analysis, as well as its rich visualization features.
Department of Computer Science, Princeton University, Princeton, NJ, USA; Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA; Department of Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway; Department of Molecular Biology, Princeton University, Princeton, NJ, USA; Department of Genetics, Geisel School of Medicine at Dartmouth, Hanover, NH, USA; Institute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, NH, USA; Department of Computer Science, University of Tromsø, Tromsø, Norway; Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Department of Clinical Molecular Biology (EpiGen), Division of Medicine, Akershus University Hospital, Akershus, Norway; Simons Center for Data Analysis, Simons Foundation, NY, New York, USA