Institute of Infection, Immunity and Inflammation, Wellcome Trust Centre for Molecular Parasitology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8TA, UK.
Bioinformatics. 2012 Apr 1;28(7):1048-9. doi: 10.1093/bioinformatics/bts069. Epub 2012 Feb 4.
The application of emerging metabolomics technologies to the comprehensive investigation of cellular biochemistry has been limited by bottlenecks in data processing, particularly noise filtering and metabolite identification. IDEOM provides a user-friendly data processing application that automates filtering and identification of metabolite peaks, paying particular attention to common sources of noise and false identifications generated by liquid chromatography-mass spectrometry (LC-MS) platforms. Building on advanced processing tools such as mzMatch and XCMS, it allows users to run a comprehensive pipeline for data analysis and visualization from a graphical user interface within Microsoft Excel, a familiar program for most biological scientists.
IDEOM is provided free of charge at http://mzmatch.sourceforge.net/ideom.html, as a macro-enabled spreadsheet (.xlsb). Implementation requires Microsoft Excel (2007 or later). R is also required for full functionality.
Supplementary data are available at Bioinformatics online.
新兴代谢组学技术在全面研究细胞生物化学方面的应用受到数据处理瓶颈的限制,特别是噪声过滤和代谢物鉴定。IDEOM 提供了一个用户友好的数据处理应用程序,可自动过滤和鉴定代谢物峰,特别注意到由液相色谱-质谱(LC-MS)平台产生的常见噪声源和错误鉴定。它建立在 mzMatch 和 XCMS 等先进的处理工具的基础上,允许用户在 Microsoft Excel 中的图形用户界面内运行数据分析和可视化的综合管道,这对大多数生物科学家来说是一个熟悉的程序。
IDEOM 可在 http://mzmatch.sourceforge.net/ideom.html 免费获得,作为一个支持宏的电子表格(.xlsb)。实现需要 Microsoft Excel(2007 或更高版本)。要实现全部功能,还需要 R。
补充数据可在 Bioinformatics 在线获得。