IsoCor: correcting MS data in isotope labeling experiments
IsoCor: correcting MS data in isotope labeling experiments
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DOI：
10.1093/bioinformatics/bts127
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发表时间：
2012-05-01
期刊：
影响因子：
5.8
通讯作者：
Portais, Jean-Charles
中科院分区：
文献类型：
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作者：
Millard, Pierre;Letisse, Fabien;Portais, Jean-Charles
质谱法（MS）广泛用于代谢和其他生物过程的同位素标记研究。定量applications-e。g.代谢通量分析-需要工具来纠正原始质谱数据的贡献，所有自然丰富的同位素。IsoCor是一款允许对任何化学物质进行校正的软件。因此，它可以用于开发任何同位素示踪剂，从众所周知的（C-13, N-15， O-18等）到不寻常的（Fe-57， Se-77等）同位素。它还提供了一些新功能。G.对示踪剂的同位素纯度进行校正，以提高定量同位素研究的准确性，并实现了处理大型数据集的有效算法。其用户友好的界面使同位素标记实验更容易获得更广泛的生物群落。
Mass spectrometry (MS) is widely used for isotopic labeling studies of metabolism and other biological processes. Quantitative applications-e. g. metabolic flux analysis-require tools to correct the raw MS data for the contribution of all naturally abundant isotopes. IsoCor is a software that allows such correction to be applied to any chemical species. Hence it can be used to exploit any isotopic tracer, from well-known (C-13, N-15, O-18, etc) to unusual (Fe-57, Se-77, etc) isotopes. It also provides new features-e. g. correction for the isotopic purity of the tracer-to improve the accuracy of quantitative isotopic studies, and implements an efficient algorithm to process large datasets. Its user-friendly interface makes isotope labeling experiments more accessible to a wider biological community.