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差异表达富集工具(DEET):人类差异基因表达的交互式图谱。

Differential Expression Enrichment Tool (DEET): an interactive atlas of human differential gene expression.

作者信息

Sokolowski Dustin J, Ahn Jedid, Erdman Lauren, Hou Huayun, Ellis Kai, Wang Liangxi, Goldenberg Anna, Wilson Michael D

机构信息

Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada.

Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.

出版信息

NAR Genom Bioinform. 2023 Jan 23;5(1):lqad003. doi: 10.1093/nargab/lqad003. eCollection 2023 Mar.

Abstract

Differential gene expression analysis using RNA sequencing (RNA-seq) data is a standard approach for making biological discoveries. Ongoing large-scale efforts to process and normalize publicly available gene expression data enable rapid and systematic reanalysis. While several powerful tools systematically process RNA-seq data, enabling their reanalysis, few resources systematically recompute differentially expressed genes (DEGs) generated from individual studies. We developed a robust differential expression analysis pipeline to recompute 3162 human DEG lists from The Cancer Genome Atlas, Genotype-Tissue Expression Consortium, and 142 studies within the Sequence Read Archive. After measuring the accuracy of the recomputed DEG lists, we built the Differential Expression Enrichment Tool (DEET), which enables users to interact with the recomputed DEG lists. DEET, available through CRAN and RShiny, systematically queries which of the recomputed DEG lists share similar genes, pathways, and TF targets to their own gene lists. DEET identifies relevant studies based on shared results with the user's gene lists, aiding in hypothesis generation and data-driven literature review.

摘要

使用RNA测序(RNA-seq)数据进行差异基因表达分析是一种用于生物学发现的标准方法。正在进行的大规模处理和标准化公开可用基因表达数据的工作,使得快速且系统的重新分析成为可能。虽然有几种强大的工具可以系统地处理RNA-seq数据,实现对其重新分析,但很少有资源能系统地重新计算单个研究中产生的差异表达基因(DEG)。我们开发了一个强大的差异表达分析流程,用于重新计算来自癌症基因组图谱、基因型-组织表达联盟以及序列读取存档库中142项研究的3162个人类DEG列表。在测量重新计算的DEG列表的准确性之后,我们构建了差异表达富集工具(DEET),它能让用户与重新计算的DEG列表进行交互。通过CRAN和RShiny可获取的DEET,系统地查询重新计算的DEG列表中哪些与用户自己的基因列表共享相似的基因、通路和转录因子靶点。DEET根据与用户基因列表的共享结果识别相关研究,有助于生成假设和进行数据驱动的文献综述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/262d/9869326/4f8964d7e1bc/lqad003fig1.jpg

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