General Information
| Description | Variant prioritization for personalized functional cancer genomics |
| Homepage | http://www.biodevlab.org/HitWalker.html |
Publications
HitWalker: variant prioritization for personalized functional cancer genomics
Summary:
Determining the functional relevance of identified sequence variants in cancer is a prerequisite to ultimately matching specific therapies with individual patients. This level of mechanistic understanding requires integration of genomic information with complementary functional analyses to identify oncogenic targets and relies on the development of computational frameworks to aid in the prioritization and visualization of these diverse data types. In response to this, we have developed HitWalker, which prioritizes patient variants relative to their weighted proximity to functional assay results in a protein–protein interaction network. It is highly extensible, allowing incorporation of diverse data types to refine prioritization. In addition to a ranked list of variants, we have also devised a simple shortest path-based approach of visualizing the results in an intuitive manner to provide biological interpretation.
Availability and implementation:
The program, documentation and example data are available as an R package from www.biodevlab.org/HitWalker.html.
Contact:
bottomly@ohsu.edu
Supplementary information:
Supplementary data are available at Bioinformatics online.
Related Tools
EPSILON
Published April 2013
An eQTL prioritization framework using similarity measures derived from local networks
GUILDify
Published February 2014
A web server for phenotypic characterization of genes through biological data integration and network-based prioritizati...
yMap
Published November 2016
An automated method to map yeast variants to protein modifications and functional regions
Linearity of network proximity measures
Published January 2017
Implications for set-based queries and significance testing
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.
