GeneSetPheno: a web application for the integration, summary, and visualization of gene and variant–phenotype associations across gene sets

GeneSetPheno is freely accessible at: https://shiny.wehi.edu.au/han.ji/GeneSetPheno/. The source code is available on GitHub at: https://github.com/bahlolab/GeneSetPheno.

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf078
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00

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article

GeneSetPheno: a web application for the integration, summary, and visualization of gene and variant–phenotype associations across gene sets

Zachary Gerring, Longfei Wang, Jiru Han, Melanie Bahlo
Bioinformatics Advances
Biomedical Text Mining and Ontologies
article

GeneSetPheno: a web application for the integration, summary, and visualization of gene and variant–phenotype associations across gene sets

Zachary Gerring, Longfei Wang, Jiru Han, Melanie Bahlo
article en

Abstract

GeneSetPheno is freely accessible at: https://shiny.wehi.edu.au/han.ji/GeneSetPheno/. The source code is available on GitHub at: https://github.com/bahlolab/GeneSetPheno.

Bioinformatics AdvancesVol. 5(1)
The University of Melbourne (AU), Walter and Eliza Hall Institute of Medical Research (AU)
AstraZeneca, Australian Government, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 77%
Biomedical Text Mining and Ontologies
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