Prioritizes the protein-coding part of the human genome to shortlist candidate genes for targeted follow-up studies. MetaRanker 2.0 allows user to upload lists of genes and their scores, which can denote tissue-specific expression levels. It facilitates prioritization of genes based on user-specified genome-wide association (GWA) summary statistics. The web server can also be used to rank genes based on their gene products’ propensity. This tool permits user to upload a larger number of phenotype specific data sets.
Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark; Division of Endocrinology and Center for Basic and Translational Obesity Research, Children’s Hospital Boston, USA; Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA; NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark; Pediatric Surgical Research Laboratories, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, USA
MetaRanker funding source(s)
This work was supported by Danish Council for Independent Research Medical Sciences (FSS) and Novo Nordisk Foundation.