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Techniques for integrating -omics data




Siva Prasad Akula1, 2, Raghava Naidu Miriyala2,4, Hanuman Thota2, 4, Allam Appa Rao3 and Srinubabu Gedela1, 3,*





1Institute of Glycoproteomics and Systems Biology, Tarnaka, Hyderbad-500017, India; 2Department of Computer Sciences and Engineering, Acharya Nagarjuna University, Guntur-522510, India; 3 International Centre for Bioinformatics, Andhra University, Visakhapatnam-530003, India; 4D.M.S S.V.H. College of Engineering, Department of Computer Science, Machilipatnam - 521002, India


Email; * Corresponding author


Article Type


Views & Challenges




received December 23, 2008; accepted December 29, 2008; published January 12, 2009



The challenge for -omics research is to tackle the problem of fragmentation of knowledge by integrating several sources of heterogeneous information into a coherent entity. It is widely recognized that successful data integration is one of the keys to improve productivity for stored data. Through proper data integration tools and algorithms, researchers may correlate relationships that enable them to make better and faster decisions. The need for data integration is essential for present -omics community, because -omics data is currently spread world wide in wide variety of formats. These formats can be integrated and migrated across platforms through different techniques and one of the important techniques often used is XML. XML is used to provide a document markup language that is easier to learn, retrieve, store and transmit. It is semantically richer than HTML. Here, we describe bio warehousing, database federation, controlled vocabularies and highlighting the XML application to store, migrate and validate -omics data.



data warehousing; BioWarehouse; Extensible Markup Language; Genomics Unified Schema; database federation; controlled vocabularies



Akula et al., Bioinformation 3(6): 284-286 (2009)


Edited by

P. Kangueane






Biomedical Informatics





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This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.