bioRxivGenomicsPreprint
Target Gene Notebook: Connecting genetics and drug discovery
Mary Pat ReeveiD, Andrew W. Kirby, Jamey Wierzbowski, Mark J. DalyiD, Janna HutziD
Abstract
Target Gene Notebook was developed to enable more efficient linking of genetic associations to functional biological information. This process is essential to translating genetic insights into therapeutic hypotheses and, eventually, drug discovery. Although many public databases provide access to unfiltered genome annotations and genetic results, there was no existing tool to maintain group curation and integration with proprietary experimental data. We provide Target Gene Notebook freely via the MIT open-source license for the purposes of assisting therapeutic target evaluation and the creation of durable institutional and public knowledge bases. Implemented as a Java backend serving mainly Javascript content derived from gene-specific SQLite databases, Target Gene Notebook enables automated access to the most widely used sources of genetic association, expression and protein QTL data, provides intuitive interfaces to credible set and colocalization information, and enables comprehensive literature review and annotation by multiple users simultaneously to create a consistent target knowledgebase within an organization or across a consortium. TargetGeneNotebook is freely available from GitHub https://github.com/targetgenenotebook/tgn.git under the MIT open-source end-user license agreement and a live version of the interface is provided at http://tgn.broadinstitute.org/.
- assay: GWAS summary statistics
- assay: protein sequence
- research focus: database / resource
- research focus: benchmarking
- research focus: variant effect prediction
- approach: statistical model
- approach: experimental assay
- Citations
- 1
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