用于标准化液相色谱-质谱数据的蛋白质组学工作流程的交互式Web工具

S. Srivastava, M. Merchant, A. Rai, S. Rai
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引用次数: 4

摘要

蛋白质组学实验涉及几个步骤,工作流程中的每个步骤都有许多选择。因此,标准化蛋白质组学工作流程是蛋白质组学实验设计的重要内容。然而,基于液相色谱-质谱法的定量测量存在挑战,如由于技术可变性和缺失值而导致的异质性。方法:引入蛋白质组学工作流程标准化工具(PWST),对蛋白质组学工作流程进行标准化。该工具将有助于为实验的每个步骤决定最合适的选择。这是基于识别具有最小可变性的步骤/选择,例如比较变异系数(CV)。我们在具有分类变量和连续变量的数据上演示了该工具。我们用一般线性模型、协方差分析和固定效应方差分析的特殊情况来研究各种变异性来源的影响。我们提供了各种选项,以帮助找到每个变量和CV的平方和的贡献。即使存在缺失值,用户也可以分析蛋白质和肽水平的数据变异性。可用性和实现:“PWST”的源代码是用R编写的,并实现为闪亮的web应用程序,可以从https://ulbbf.shinyapps.io/pwst/免费访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive Web Tool for Standardizing Proteomics Workflow for Liquid Chromatography-Mass Spectrometry Data
Introduction: The proteomics experiments involve several steps and there are many choices available for each step in the workflow. Therefore, standardization of proteomics workflow is an essential task for design of proteomics experiments. However, there are challenges associated with the quantitative measurements based on liquid chromatography-mass spectrometry such as heterogeneity due to technical variability and missing values. Methods: We introduce a web application, Proteomics Workflow Standardization Tool (PWST) to standardize the proteomics workflow. The tool will be helpful in deciding the most suitable choice for each step of the experimentation. This is based on identifying steps/choices with least variability such as comparing Coefficient of Variation (CV). We demonstrate the tool on data with categorical and continuous variables. We have used the special cases of general linear model, analysis of covariance and analysis of variance with fixed effects to study the effects due to various sources of variability. We have provided various options that will aid in finding the contribution of sum of squares for each variable and the CV. The user can analyze the data variability at protein and peptide level even in the presence of missing values. Availability and implementation: The source code for “PWST” is written in R and implemented as shiny web application that can be accessed freely from https://ulbbf.shinyapps.io/pwst/.
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