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Techniques for integrating -omics data BACK TO CONTENTS PDF PREVIOUS
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Title

 

 

 

 

 

Techniques for integrating -omics data

 

Authors

 

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

 

Affiliation

 

 

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

 

srinubabuau6@gmail.com; * Corresponding author

 

Article Type

 

Views & Challenges

 

Date

 

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

 

Abstract

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.

 

Keywords

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

 

Citation

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

 

Edited by

P. Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

Copyright

Publisher

 

Copyright Transfer Agreement

 

The authors of published articles in Bioinformation automatically transfer the copyright to the publisher upon formal acceptance. However, the authors reserve right to use the information contained in the article for non commercial purposes.

 

License

 

 

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.