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GeneSetCart:组装,增强,结合,可视化和分析基因组

Giacomo B Marino¹, Stephanie Olaiya¹, John Erol Evangelista¹

¹Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.

|April 10, 2025

概括

GeneSetCart是一个网络平台,让生物学家将多组学数据集成到基因组中. 它有助于数据管理,分析和可视化,在没有编程专业知识的情况下促进知识发现.

科学领域:

生物信息学是一种生物信息学.
计算生物学计算生物学
基因组学就是基因组学.

背景情况:

多基因组数据集需要有效的基因组管理,以进行综合分析和知识发现.
现有的工具往往缺乏对来自不同来源的基因组的全面管理能力.

研究的目的:

介绍GeneSetCart,这是一个互动的基于Web的平台,用于全面的基因组管理和分析.
为了使生物学家,无论编程的专业知识,整合和分析多omics数据.

主要方法:

GeneSetCart允许从各种来源收集基因组,并通过协同表达和相互作用数据来增强它们.
它支持集合运算 (联盟,交叉点,共识) 和使用Venn图,热图,UMAP,SuperVenn和UpSet图的可视化.
该平台可以与外部工具进行丰富分析,并使用大型语言模型 (LLM) 来解释重叠的基因组并生成报告.

主要成果:

GeneSetCart为基因组操纵,可视化和分析提供了一个集中的环境.
它有助于识别来自不同来源的基因组之间的相似性和重叠.
该平台通过两个用例成功证明了它的实用性,包括LLM辅助的基因组重叠的解释.

结论:

GeneSetCart使生物学家能够进行复杂的基因组分析,促进数据集成和假设生成.
该平台为没有编码技能的研究人员提高了对先进生物信息学工具的可访问性.
GeneSetCart 通过综合的多组学数据分析,作为促进生物研究的宝贵资源.

关键词:

亚历山大病就是亚历山大病.这是一个Chrome扩展.一个基因射击.这是一个超级Venn.上设置设置设置上设置维恩·维恩 (Venn Venn) 是一个老化的老化衰老的老化运动就是炼身体.基因组的交叉点与基因组的交叉点.综合性分析是一种综合性分析.

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