TRIAGE: an R package for regulatory gene analysis.

IF 6.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Briefings in bioinformatics Pub Date : 2025-01-12 DOI:10.1093/bib/bbaf004
Qiongyi Zhao, Woo Jun Shim, Yuliangzi Sun, Enakshi Sinniah, Sophie Shen, Mikael Boden, Nathan J Palpant
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Abstract

Regulatory genes are critical determinants of cellular responses in development and disease, but standard RNA sequencing (RNA-seq) analysis workflows, such as differential expression analysis, have significant limitations in revealing the regulatory basis of cell identity and function. To address this challenge, we present the TRIAGE R package, a toolkit specifically designed to analyze regulatory elements in both bulk and single-cell RNA-seq datasets. The package is built upon TRIAGE methods, which leverage consortium-level H3K27me3 data to enrich for cell-type-specific regulatory regions. It facilitates the construction of efficient and adaptable pipelines for transcriptomic data analysis and visualization, with a focus on revealing regulatory gene networks. We demonstrate the utility of the TRIAGE R package using three independent transcriptomic datasets, showcasing its integration into standard analysis workflows for examining regulatory mechanisms across diverse biological contexts. The TRIAGE R package is available on GitHub at https://github.com/palpant-comp/TRIAGE_R_Package.

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TRIAGE:用于调控基因分析的R包。
调控基因是发育和疾病中细胞反应的关键决定因素,但标准RNA测序(RNA-seq)分析工作流程,如差异表达分析,在揭示细胞身份和功能的调控基础方面存在重大局限性。为了应对这一挑战,我们提出了TRIAGE R包,这是一个专门设计用于分析大量和单细胞RNA-seq数据集中的调控元件的工具包。该软件包建立在TRIAGE方法的基础上,该方法利用联盟级H3K27me3数据来丰富细胞类型特异性调控区域。它有助于构建高效和适应性强的转录组数据分析和可视化管道,重点是揭示调控基因网络。我们使用三个独立的转录组数据集展示了TRIAGE R软件包的实用性,展示了它与标准分析工作流程的集成,用于检查不同生物背景下的调控机制。TRIAGE R包可在GitHub上获得https://github.com/palpant-comp/TRIAGE_R_Package。
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来源期刊
Briefings in bioinformatics
Briefings in bioinformatics 生物-生化研究方法
CiteScore
13.20
自引率
13.70%
发文量
549
审稿时长
6 months
期刊介绍: Briefings in Bioinformatics is an international journal serving as a platform for researchers and educators in the life sciences. It also appeals to mathematicians, statisticians, and computer scientists applying their expertise to biological challenges. The journal focuses on reviews tailored for users of databases and analytical tools in contemporary genetics, molecular and systems biology. It stands out by offering practical assistance and guidance to non-specialists in computerized methodologies. Covering a wide range from introductory concepts to specific protocols and analyses, the papers address bacterial, plant, fungal, animal, and human data. The journal's detailed subject areas include genetic studies of phenotypes and genotypes, mapping, DNA sequencing, expression profiling, gene expression studies, microarrays, alignment methods, protein profiles and HMMs, lipids, metabolic and signaling pathways, structure determination and function prediction, phylogenetic studies, and education and training.
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