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ExpOmics:一个全面的网络平台,为生物学家提供了强大的多omics数据分析能力
Douyue Li1, Zhuochao Min2, Jia Guo1
1The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, GMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macao Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, Guangzhou 510182, People's Republic of China.
Bioinformatics (Oxford, England)
|August 11, 2024
概括
ExpOmics是一个用于分析多omics数据的网络平台,克服物种多样性和数据类型的挑战. 它有助于研究人员探索复杂的生物系统并识别潜在的癌症生物标志物.
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:
- 高通量技术产生了大量的生物洞察力的多omics数据集.
- 分析多种多omics数据面临诸如物种变异,数据类型,成本和工具限制等挑战.
研究的目的:
- 介绍ExpOmics,这是一个用于多omics数据分析的综合网络平台.
- 为研究人员提供一种多功能工具,用于探索各种生物体的基因表达,共同表达,网络分析和功能丰富.
主要方法:
- 开发了ExpOmics,这是一个拥有7个应用程序和4个工具包的网络平台,提供28个可定制的分析功能.
- 对差异表达,共同表达,权重基因共同表达网络分析 (WGCNA),特征选择和功能丰富的综合分析.
- 启用了对生物体无关的多omics数据探索,支持各种数据类型 (基因,mRNAs,lncRNAs,miRNAs,cirRNAs,piRNAs,蛋白质) 和命名法.
主要成果:
- ExpOmics促进了来自癌症基因组图谱计划 (TCGA) 的22427个转录组数据集的分析,以发现癌症生物标志物.
- 结果以出版品质的图形格式呈现,可以免费下载.
- 一个案例研究确定了SERPINE1和SLC43A1作为调节结直肠癌的潜在瘤基因.
结论:
- ExpOmics是全球研究人员分析多omics数据的强大免费平台.
- 该平台使用户能够获得生物学见解并产生可测试的假设.
- ExpOmics通过克服常见的多omics分析障碍来支持多样化的生物研究.
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