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Updated: Feb 8, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Published on: October 19, 2021

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扩展蛋白质组学和代谢组学工具包,包括从转录组学的差异表达式分析方法.

Sebastian Dohm-Hansen1,2,3, Maria Giovanna Caruso1,2, Sarah Nicolas1,2

  • 1Department of Anatomy and Neuroscience, University College Cork, Cork T12 XF62, Ireland.

Journal of proteome research
|February 6, 2026
PubMed
概括

来自转录组学的差异表达分析 (DEA) 工具可以有效地解决蛋白质组学和代谢组学方面的挑战. 这些方法有助于管理样本质量,批量效应,规范化和发现学中的小样本大小等问题.

关键词:
批量效应 批量效应 批量效应生物信息学是一种生物信息学.不同的表达分析分析差异表达分析.代谢生物组的代谢生物组多种多种多种多种多种多种多种多种多种多种.规范化的正常化.蛋白质组学 蛋白质组学样品质量的样品质量翻译学 翻译学 翻译学 翻译学

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