TICL - a web tool for network-based interpretation of compound lists inferred by high-throughput metabolomics
TICL - a web tool for network-based interpretation of compound lists inferred by high-throughput metabolomics
复制标题
DOI：
10.1111/j.1742-4658.2009.06943.x
复制
发表时间：
2009-04-01
期刊：
影响因子：
5.4
通讯作者：
Mewes, Hans W.
中科院分区：
文献类型：
--
作者：
Antonov, Alexey V.;Dietmann, Sabine;Mewes, Hans W.
高通量代谢组学是一种动态发展的技术，能够以非常高的分辨率对复杂混合物进行质量分离。代谢谱已开始广泛用于临床研究，以研究复杂细胞疾病的分子机制。与能够检测处于差异状态的基因的转录组学类似，代谢组学能够提供在探索的细胞生理条件之间差异存在的化合物列表。生物信息学的挑战在于对已确定的代谢物组的功能背景进行统计学有效的解释。在这里，我们提出了TICL，一个网络工具的化合物列表的自动解释。TICL的主要进步在于，它不仅提供了与输入列表相关的可能复合转换的模型，而且还实现了一个强大的统计框架来估计推断模型的重要性。TICL网络工具可在http://mips.helmholtz-muenchen.de上免费访问。
High-throughput metabolomics is a dynamically developing technology that enables the mass separation of complex mixtures at very high resolution. Metabolic profiling has begun to be widely used in clinical research to study the molecular mechanisms of complex cell disorders. Similar to transcriptomics, which is capable of detecting genes at differential states, metabolomics is able to deliver a list of compounds differentially present between explored cell physiological conditions. The bioinformatics challenge lies in a statistically valid interpretation of the functional context for identified sets of metabolites. Here, we present TICL, a web tool for the automatic interpretation of lists of compounds. The major advance of TICL is that it not only provides a model of possible compound transformations related to the input list, but also implements a robust statistical framework to estimate the significance of the inferred model. The TICL web tool is freely accessible at http://mips.helmholtz-muenchen.de.