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Summary: Data integration and visualization help geneticists make sense of large amounts of data. To help facilitate interpretation of genetic association data we developed Toppar, a customizable visualization tool that stores results from association studies and enables browsing over multiple results, by combining features from existing tools and linking to appropriate external databases. Availability: Detailed information on Toppar's features and functionality are on our website http://mccarthy.well.ox.ac.uk/toppar/docs along with instructions on how to download, install and run Toppar. Our online version of Toppar is accessible from the website and can be test-driven using Firefox, Safari or Chrome on sub-sets of publicly available genome-wide association study (GWAS) anthropometric waist and body mass index (BMI) data (Locke, et al., 2015; Shungin, et al., 2015) from the Genetic Investigation of ANthropometric Traits (GIANT) consortium. Contact: totajuliusd@gmail.com.

Original publication

DOI

10.1093/bioinformatics/btx840

Type

Journal article

Journal

Bioinformatics

Publication Date

08/01/2018