HitWalker2: visual analytics for precision medicine and beyond | Zendy

Daniel Bottomly | Zendy; Shan K. McWeeney | Zendy; Beth Wilmot | Zendy

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HitWalker2: visual analytics for precision medicine and beyond

Author(s) -

Daniel Bottomly,

Shan K. McWeeney,

Beth Wilmot

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv739

Subject(s) - precision medicine , visual analytics , analytics , computer science , software , data science , visualization , artificial intelligence , medicine , programming language , pathology

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.

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