Volume : II, Issue : VIII, August - 2013

Bioinformatics Analysis of Mirna Data for Potential Biomarker Discovery

B. Veena

Abstract :

miRNA are small and non coding RNA molecules about 22 nucleotides which play an important role in regulation of gene expression. miRNAs can be one type of potential molecular biomarkers. There is plenty of gene expression data available for many normal and disease conditions. A novel meta analysis approach developed by Shodhaka has been promising. This approach can be combined with the available miRNA data to identify potential novel markers. But the existing miRNA data are scattered across more than 150 web resources, it is not possible to select suitable one among them. In this project, the stand-alone miRNA tools were listed, down-loaded and compared. Potential novel biomarker(s) were identified for a specific condition. The results show that, among about 40 stand-alone tools only one tool (Gomir) is functional, easy to use and compatible with the available system. The procedure to use this tool was standardized. There were 6 different databases within this tool which were also compared. Among these databases, miRanda and RNAhyid database give more number of predicted targets. All the union miRNA were selected for analysis with different database. There were twenty seven databases, selected by screening post-2010 publications, which can queried with a miRNA. From the comparison result miR-449, miR-380-5p, miR-368, miR-518a, miR-146b and miR-454-3p were identified as novel potential biomarker for testis tissue.

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

B. Veena Bioinformatics Analysis of Mirna Data for Potential Biomarker Discovery International Journal of Scientific Research, Vol : 2, Issue : 8 August 2013

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