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基于质谱的代谢组学的网络资源:用户指南

Web-based resources for mass-spectrometry-based metabolomics: a user's guide.

作者信息

Tohge Takayuki, Fernie Alisdair R

机构信息

Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany.

出版信息

Phytochemistry. 2009 Mar;70(4):450-6. doi: 10.1016/j.phytochem.2009.02.004. Epub 2009 Mar 13.

Abstract

In recent years, a plethora of web-based tools aimed at supporting mass-spectrometry-based metabolite profiling and metabolomics applications have appeared. Given the huge hurdles presented by the chemical diversity and dynamic range of the metabolites present in the plant kingdom, profiling the levels of a broad range of metabolites is highly challenging. Given the scale and costs involved in defining the plant metabolome, it is imperative that data are effectively shared between laboratories pursuing this goal. However, ensuring accurate comparison of samples run on the same machine within the same laboratory, let alone cross-machine and cross-laboratory comparisons, requires both careful experimentation and data interpretation. In this review, we present an overview of currently available software that aids either in peak identification or in the related field of peak alignment as well as those with utility in defining structural information of compounds and metabolic pathways.

摘要

近年来,出现了大量旨在支持基于质谱的代谢物谱分析和代谢组学应用的网络工具。鉴于植物王国中代谢物的化学多样性和动态范围带来的巨大障碍,对广泛的代谢物水平进行谱分析极具挑战性。鉴于定义植物代谢组所涉及的规模和成本,在追求这一目标的实验室之间有效共享数据势在必行。然而,要确保同一实验室中在同一台机器上运行的样本能够进行准确比较,更不用说跨机器和跨实验室的比较了,这既需要仔细的实验,也需要数据解读。在本综述中,我们概述了目前可用的软件,这些软件有助于进行峰识别或峰对齐相关领域的工作,以及那些在定义化合物结构信息和代谢途径方面有用的软件。

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