Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research
Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research
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DOI：
10.1007/978-1-4939-7493-1_7
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发表时间：
2018-01-01
期刊：
影响因子：
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通讯作者：
Cox, Juergen
中科院分区：
文献类型：
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作者：
Tyanova, Stefka;Cox, Juergen
基于质谱的蛋白质组学是一个不断发展的领域，其特点是技术和方法的改进。肿瘤蛋白质组学的研究目标是依靠蛋白质组的丰富信息，实现肿瘤的准确诊断、患者分层和生物标志物发现等。将这些高维数据转化为具有临床重要性的生物学发现需要使用强大而强大的计算工具和方法。在本章中，我们提供了一个标准的分析步骤，在珀尔修斯，大规模定量组学数据的功能分析软件进行临床蛋白质组学数据集的详细描述。
Mass spectrometry-based proteomics is a continuously growing field marked by technological and methodological improvements. Cancer proteomics is aimed at pursuing goals such as accurate diagnosis, patient stratification, and biomarker discovery, relying on the richness of information of quantitative proteome profiles. Translating these high-dimensional data into biological findings of clinical importance necessitates the use of robust and powerful computational tools and methods. In this chapter, we provide a detailed description of standard analysis steps for a clinical proteomics dataset performed in Perseus, a software for functional analysis of large-scale quantitative omics data.