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Updated: Jul 12, 2025

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

RichPathR:一个基因组丰富分析和可视化工具.

Binod Regmi¹, Stephen R Brooks¹, Andrew J Uhlman¹

¹Biodata Mining and Discovery Section, NIAMS, NIH, Bethesda, MD, USA 1.

bioRxiv : the preprint server for biology

|October 27, 2023

概括

基因组丰富分析 (GSEA) 通过分析基因列表来帮助发现疾病和药物点. richPathR包简化了大规模的GSEA,使用流行的EnrichR数据库来获取生物见解.

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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:

高通量生物分析产生了广泛的基因列表,需要在生物背景下进行解释.
基因组丰富分析 (GSEA) 对于识别与基因表达变化相关的生物功能和表型至关重要.
现有的知识库和工具,如EnrichR在GSEA的帮助,但大规模的数据挖掘仍然具有挑战性.

结论:

richPathR为研究人员进行大规模基因组丰富分析提供了一个有价值的基于R的解决方案.
该软件包通过利用EnrichR知识库来简化对OMIC数据的解释.
它通过改进的生物数据探索来支持疾病和药物发现的进步.

关键词:

杰卡德的相似性指数邻矩阵是一个邻矩阵.热图是一种热图.网络图片网络图片网络图片路径分析路径分析

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