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HitWalker2
HitWalker2
Data Resource:  HitWalker2
Point of Contact:  
Beth Wilmot,  
Project

About This Dataset
Across domains, the need to integrate and prioritize genes or variants is a common theme - for therapeutic selection, as well as for mechanistic and perturbation studies. Network-context methods can facilitate the ranking of genes and associated genetic variants/mutations. For instance, some serve to rank the variant genes of individual subjects relative to orthogonal biological assay data whereas others can be used for GWAS or QTL studies. As a whole, these approaches can integrate different data types and statically report results, but up to now have not focused on making the data 'accessible' with respect to discovery, interpretation and knowledge acquisition. To this end we developed HitWalker2, which is a highly customizable approach to both producing a ranked list of genes utilizing network and external information and exploring these results using graph-centric interactive visualizations.
Core Data Elements
Additional Data Elements
Grant Information
5P30CA069533-13
OHSU Knight Cancer Institute
5UL1RR024140
Oregon Clinical and Translational Science Institute
R01MH099064
ADHD biotypes using genetic and imaging approaches
Published In
https://doi.org/10.1093/bioinformatics/btv739