HitWalker2: Visual analytics for precision medicine and beyond

Daniel Bottomly, Shannon McWeeney, Beth Wilmot

Research output: Contribution to journalArticle

8 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1253-1255
Number of pages3
Issue number8
StatePublished - Apr 15 2016


ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Computational Mathematics
  • Statistics and Probability

Cite this