Journal of Computer Science & Systems Biology

E Kusuma Umari

Publications

• Review Article
  Glycomics Data Mining
  Author(s): V Srinivasa Rao, S K Das and E Kusuma UmariV 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... Read More»
  DOI: 10.4172/jcsb.1000040

  Abstract PDF