| Title: |
HitWalker: variant prioritization for personalized functional cancer genomics |
| Authors: |
Bottomly, Daniel; Wilmot, Beth; Tyner, Jeffrey W.; Eide, Christopher A.; Loriaux, Marc M.; Druker, Brian J.; McWeeney, Shannon K. |
| Source: |
Bioinformatics ; volume 29, issue 4, page 509-510 ; ISSN 1367-4811 1367-4803 |
| Publisher Information: |
Oxford University Press (OUP) |
| Publication Year: |
2013 |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1093/bioinformatics/btt003 |
| Availability: |
https://doi.org/10.1093/bioinformatics/btt003; https://academic.oup.com/bioinformatics/article-pdf/29/4/509/48897737/bioinformatics_29_4_509.pdf |
| Rights: |
http://creativecommons.org/licenses/by/3.0/ |
| Accession Number: |
edsbas.13279D3 |
| Database: |
BASE |