title: HitWalker2: visual analytics for precision medicine and beyond.
abstract: The lack of visualization frameworks to guide interpretation and facilitate discovery is a potential bottleneck for precision medicine, systems genetics and other studies. To address this we have developed an interactive, reproducible, web-based prioritization approach that builds on our earlier work. HitWalker2 is highly flexible and can utilize many data types and prioritization methods based upon available data and desired questions, allowing it to be utilized in a diverse range of studies such as cancer, infectious disease and psychiatric disorders.
  
  
  
  Source code is freely available at https://github.com/biodev/HitWalker2 and implemented using Python/Django, Neo4j and Javascript (D3.js and jQuery). We support major open source browsers (e.g. Firefox and Chromium/Chrome).
  
  
  
  wilmotb@ohsu.edu
  
  
  
  Supplementary data are available at Bioinformatics online. Additional information/instructions are available at https://github.com/biodev/HitWalker2/wiki.
authors.affiliation: Knight Cancer Institute, Oregon Clinical and Translational Research Institute and.
authors.forename: Daniel
authors.initials: D
authors.lastname: Bottomly
authors.affiliation: Knight Cancer Institute, Oregon Clinical and Translational Research Institute and Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland OR 97239, USA.
authors.forename: Shannon K
authors.initials: SK
authors.lastname: McWeeney
authors.affiliation: Knight Cancer Institute, Oregon Clinical and Translational Research Institute and Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland OR 97239, USA.
authors.forename: Beth
authors.initials: B
authors.lastname: Wilmot
mesh_terms: D006801:Humans; D057285:Precision Medicine; D011381:Programming Languages; D012984:Software