计算机科学与系统生物学杂志

Glycomics Data Mining

Abstract

V Srinivasa Rao, S K Das and E Kusuma Umari

The amount of glycomics data being generated is rapidly increasing as a result of improvements in analytical and computational methods. Correlation and analysis of this large, distributed data set requires an extensible and flexible representational standard that is also ‘understood’ by a wide range of software applications. An XML-based data representation standard that faithfully captures essential structural details of a glycan moiety along with additional information (such as data provenance) to aid the interpretation and usage of glycan data, will facilitate the exchange of glycomics data across the scientific community. We reviewed importance of data warehouse, showing a method of applying data mining techniques using XML, and some of the data issues, analysis problems, and results.