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

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bioinformatics advances Pub Date : 2025-04-17 eCollection Date: 2025-01-01 DOI:10.1093/bioadv/vbaf078
Jiru Han, Zachary F Gerring, Longfei Wang, Melanie Bahlo
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引用次数: 0

Abstract

Motivation: The comprehensive study of genotype-phenotype relationships requires the integration of multiple data types to "triangulate" signals and derive meaningful biological conclusions. Large-scale biobanks and public resources generate a wealth of comprehensive results, facilitating the discovery of associations between genes or genetic variants and multiple phenotypes. However, analyzing these data across resources presents several challenges, including limited flexibility in gene set analysis, the integration of multipe databases, and the need for effective data visualization to aid interpretation.

Results: GeneSetPheno is a user-friendly graphical interface that integrates, summarizes, and visualizes gene and variant-phenotype associations across genomic resources. It allows users to explore interrelationships between genetic variants and phenotypes, offering insights into the genetic factors driving phenotypic variation within user-defined gene sets. GeneSetPheno also supports comparisons across gene sets to identify shared or unique genetic variants, phenotypic associations, biological pathways, and potential gene-gene interactions. GeneSetPheno is a free and highly configurable tool for exploring the complex relationships between gene sets, genetic variants, and phenotypes. Target users include molecular biologists and clinicians who wish to explore a gene or gene set of particular interest.

Availability and implementation: 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.

GeneSetPheno:一个用于整合、总结和可视化基因和变异表型关联的web应用程序。
动机:基因型-表型关系的综合研究需要整合多种数据类型来“三角化”信号,得出有意义的生物学结论。大规模的生物库和公共资源产生了丰富的综合结果,有助于发现基因或遗传变异与多种表型之间的关联。然而,跨资源分析这些数据带来了一些挑战,包括基因集分析的有限灵活性,多个数据库的集成,以及有效的数据可视化以帮助解释的需求。结果:GeneSetPheno是一个用户友好的图形界面,集成、总结和可视化基因和变异表型在基因组资源中的关联。它允许用户探索遗传变异和表型之间的相互关系,提供对用户定义的基因集内驱动表型变异的遗传因素的见解。GeneSetPheno还支持跨基因集的比较,以确定共享或独特的遗传变异,表型关联,生物学途径和潜在的基因-基因相互作用。GeneSetPheno是一个免费和高度可配置的工具,用于探索基因集,遗传变异和表型之间的复杂关系。目标用户包括分子生物学家和临床医生谁希望探索一个基因或基因集特别感兴趣。可用性和实现:GeneSetPheno可免费访问:https://shiny.wehi.edu.au/han.ji/GeneSetPheno/。源代码可在GitHub上获得:https://github.com/bahlolab/GeneSetPheno。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.60
自引率
0.00%
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