Bottomly D.,Knight Cancer Institute |
Bottomly D.,Oregon Clinical and Translational Research Institute and |
McWeeney S.K.,Knight Cancer Institute |
McWeeney S.K.,Oregon Clinical and Translational Research Institute and |
And 4 more authors.
Bioinformatics | Year: 2016
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. © 2015 The Author. Source