The Perseus computational platform for comprehensive analysis of (prote)omics data
The Perseus computational platform for comprehensive analysis of (prote)omics data
复制标题
DOI：
10.1038/nmeth.3901
复制
发表时间：
2016-09-01
期刊：
影响因子：
48
通讯作者：
Cox, Juergen
中科院分区：
文献类型：
--
作者：
Tyanova, Stefka;Temu, Tikira;Cox, Juergen
蛋白质组学的一个主要瓶颈是对基于质谱学的分析产生的高度多变量的定量蛋白质丰度数据进行下游生物学分析。我们开发了珀尔修斯软件平台(http://www.perseus-framework.org))，以支持生物和生物医学研究人员解释蛋白质定量、相互作用和翻译后修饰数据。Perseus包含用于高维组学数据分析的全面统计工具组合，涵盖归一化、模式识别、时间序列分析、交叉组学比较和多重假设检验。机器学习模块支持对患者组进行分类和验证，以进行诊断和预后，它还可以检测预测性蛋白质签名。Perseus的核心是一个用户友好的交互式工作流环境，它提供了出版物中使用的计算方法的完整文档。Perseus中的所有活动都以插件的形式实现，用户可以通过编写自己的程序来扩展软件，可以通过插件商店共享。我们预计，珀尔修斯的算法武器库及其直观的可用性将使复杂的大型数据集的跨学科分析成为可能。
A main bottleneck in proteomics is the downstream biological analysis of highly multivariate quantitative protein abundance data generated using mass spectrometry-based analysis. We developed the Perseus software platform (http://www.perseus-framework.org) to support biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data. Perseus contains a comprehensive portfolio of statistical toots for high-dimensional omics data analysis covering normalization, pattern recognition, time-series analysis, cross-omics comparisons and multiple hypothesis testing. A machine learning module supports the classification and validation of patient groups for diagnosis and prognosis, and it also detects predictive protein signatures. Central to Perseus is a user-friendly, interactive workflow environment that provides complete documentation of computational methods used in a publication. ALL activities in Perseus are realized as plugins, and users can extend the software by programming their own, which can be shared through a plugin store. We anticipate that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary analysis of complex large data sets.