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首页> 外文期刊>Journal of mass spectrometry: JMS >Overview of software options for processing, analysis and interpretation of mass spectrometric proteomic data
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Overview of software options for processing, analysis and interpretation of mass spectrometric proteomic data

机译：用于处理，分析和解释质谱蛋白质组数据的软件选项概述

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Recently, the interests in proteomics have been intensively increased, and the proteomic methods have been widely applied to many problems in cell biology. If the age of 1990s is considered to be a decade of genomics, we can claim that the following years of the new century is a decade of proteomics. The rapid evolution of proteomics has continued through these years, with a series of innovations in separation techniques and the core technologies of two-dimensional gel electrophoresis and MS. Both technologies are fueled by automation and high throughput computation for profiling of proteins from biological systems. As Patterson ever mentioned, data analysis is the Achilles heel of proteomics and our ability to generate data now outstrips our ability to analyze it'. The development of automatic and high throughput technologies for rapid identification of proteins is essential for large-scale proteome projects and automatic protein identification and characterization is essential for high throughput proteomics. This review provides a snap shot of the tools and applications that are available for mass spectrometric high throughput biocomputation. The review starts with a brief introduction of proteomics and MS. Computational tools that can be employed at various stages of analysis are presented, including that for data processing, identification, quantification, and the understanding of the biological functions of individual proteins and their dynamic interactions. The challenges of computation software development and its future trends in MS-based proteomics have also been speculated. Copyright (c) 2014 John Wiley & Sons, Ltd.
机译：近年来，人们对蛋白质组学的兴趣日益浓厚，蛋白质组学方法已广泛应用于细胞生物学中的许多问题。如果说1990年代是基因组学的十年，那么我们可以断言新世纪的随后几年是蛋白质组学的十年。蛋白质组学的快速发展一直持续了这些年，在分离技术以及二维凝胶电泳和质谱的核心技术方面进行了一系列创新。这两种技术都得益于自动化和高通量计算，可用于分析生物系统中的蛋白质。正如Patterson曾经提到的那样，数据分析是蛋白质组学的致命弱点，而我们生成数据的能力现在已经超过了我们分析数据的能力。快速和自动化的蛋白质快速鉴定技术的发展对于大规模蛋白质组学项目至关重要，而自动蛋白质的鉴定和表征对于高吞吐率蛋白质组学至关重要。这篇综述提供了可用于质谱高通量生物计算的工具和应用程序的快照。审查从蛋白质组学和质谱的简要介绍开始。介绍了可在分析的各个阶段使用的计算工具，包括用于数据处理，识别，定量以及对单个蛋白质的生物学功能及其动态相互作用的理解的工具。还已经推测了计算软件开发的挑战及其在基于MS的蛋白质组学中的未来趋势。版权所有（c）2014 John Wiley＆Sons，Ltd.

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