Cannataro Mario, Guzzi Pietro Hiram, Mazza Tommaso, Tradigo Giuseppe, Veltri Pierangelo
Magna Graecia University, 88100 Catanzaro, Italy.
Stud Health Technol Inform. 2005;112:17-26.
Bioinformatics applications are often characterized by a combination of (pre) processing of raw data representing biological elements, (e.g. sequence alignment, structure prediction), and an high level data mining analysis. Developing such applications needs knowledge of both data mining and bioinformatics domains, that can be effectively achieved by combining ontology about the application domain and ontology about the approaches and processes to solve the given problem. In this paper we talk about using ontologies to model proteomics in silico experiments. In particular data mining of mass spectrometry proteomics data is considered.
生物信息学应用通常具有对表示生物元素的原始数据进行（预）处理（例如序列比对、结构预测）以及高级数据挖掘分析相结合的特点。开发此类应用需要数据挖掘和生物信息学领域的知识，通过结合关于应用领域的本体以及关于解决给定问题的方法和过程的本体能够有效地实现这一点。在本文中，我们讨论使用本体对蛋白质组学虚拟实验进行建模。特别考虑了质谱蛋白质组学数据的数据挖掘。
