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ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
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Research Article

Genocms - The Content Management System for Genes and Proteins

Ekaterina V Poverennaya1, Nadezhda A Bogolubova1*, Elena A Ponomarenko2, Andrey V Lisitsa2 and Alexander I Archakov1

1Orekhovich Institute of Biomedical Chemistry Russian Academy of Medical Sciences (RAMS), Moscow, Russia

2PostgenTech Ltd., Moscow, Russia

*Corresponding Author:
Nadezhda A Bogolubova
119121, Pogodinskaya str., 10
Moscow, Russia
Tel: +74992553960
Fax: +74992460857
E-mail: [email protected]

Received date: July 10, 2013; Accepted date: August 16, 2013; Published date: August 25, 2013

Citation: Poverennaya EV, Bogolubova NA, Ponomarenko EA, Lisitsa AV, Archakov AI (2013) GenoCMS - The Content Management System for Genes and Proteins. J Proteomics Bioinform 6:176-182. doi:10.4172/jpb.1000278

Copyright: © 2013 Poverennaya EV, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Multifaceted data scattered among numerous repositories became a reverse of the medal in the postgenome era. Withstanding information pieces are aggressively crawling away, we proposed a Web-content management system–genoCMS. The system designed to “domesticate” data locally by sampling genes and re-annotating them in a user defined manner. Heat map visualization style was implemented in genoCMS to make it easier for user to inspect data coverage across a collection of genes. Using genoCMS, we have revisited the recently published data on large-scale transcriptome and proteome mining. Demonstration scenarios were implemented to illustrate the sortand- select workflow for distilling genes with desirable profiles of the features.

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