School of Biosciences, University of Birmingham, Birmingham B15 2TT, UK.
Bioinformatics. 2012 Nov 1;28(21):2856-7. doi: 10.1093/bioinformatics/bts527. Epub 2012 Sep 6.
Mass spectrometry is widely used in bioanalysis, including the fields of metabolomics and proteomics, to simultaneously measure large numbers of molecules in complex biological samples. Contaminants routinely occur within these samples, for example, originating from the solvents or plasticware. Identification of these contaminants is crucial to enable their removal before data analysis, in particular to maintain the validity of conclusions drawn from uni- and multivariate statistical analyses. Although efforts have been made to report contaminants within mass spectra, this information is fragmented and its accessibility is relatively limited. In response to the needs of the bioanalytical community, here we report the creation of an extensive manually well-annotated database of currently known small molecule contaminants.
The Mass spectrometry Contaminants Database (MaConDa) is freely available and accessible through all major browsers or by using the MaConDa web service http://www.maconda.bham.ac.uk.
质谱广泛应用于生物分析,包括代谢组学和蛋白质组学领域,以同时测量复杂生物样本中的大量分子。污染物通常存在于这些样本中,例如,源自溶剂或塑料器皿。识别这些污染物至关重要,以便在数据分析之前将其去除,特别是为了保持从单变量和多变量统计分析中得出的结论的有效性。尽管已经努力在质谱中报告污染物,但这些信息是零散的,其可访问性相对有限。为了满足生物分析界的需求,我们在这里报告创建了一个广泛的手动注释良好的当前已知小分子污染物数据库。
质谱污染物数据库(MaConDa)是免费提供的,可以通过所有主要浏览器访问,也可以使用 MaConDa 网络服务 http://www.maconda.bham.ac.uk。