Worley Bradley, Powers Robert
Department of Chemistry, University of Nebraska-Lincoln , Lincoln, Nebraska 68588-0304, United States.
ACS Chem Biol. 2014 May 16;9(5):1138-44. doi: 10.1021/cb4008937. Epub 2014 Mar 7.
Data handling in the field of NMR metabolomics has historically been reliant on either in-house mathematical routines or long chains of expensive commercial software. Thus, while the relatively simple biochemical protocols of metabolomics maintain a low barrier to entry, new practitioners of metabolomics experiments are forced to either purchase expensive software packages or craft their own data handling solutions from scratch. This inevitably complicates the standardization and communication of data handling protocols in the field. We report a newly developed open-source platform for complete NMR metabolomics data handling, MVAPACK, and describe its application on an example metabolic fingerprinting data set.
在核磁共振代谢组学领域,数据处理历来依赖于内部数学程序或一长串昂贵的商业软件。因此,尽管代谢组学相对简单的生化实验方案门槛较低,但代谢组学实验的新从业者要么被迫购买昂贵的软件包,要么从头开始构建自己的数据处理解决方案。这不可避免地使该领域数据处理协议的标准化和交流变得复杂。我们报告了一个新开发的用于完整核磁共振代谢组学数据处理的开源平台MVAPACK,并在一个示例代谢指纹数据集上描述了它的应用。