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Review Article | OPEN ACCESS

Current Knowledge on Microarray Technology - An Overview

Chitrala Kumaraswamy Naidu, Yeguvapalli Suneetha

Department of Zoology, Sri Venkateswara University, Tirupati -517502, India;

For correspondence:-  Yeguvapalli Suneetha   Email: ysuneethareddy4@gmail.com   Tel:+919985563644

Received: 19 April 2011        Accepted: 19 December 2011        Published: 21 February 2012

Citation: Naidu CK, Suneetha Y. Current Knowledge on Microarray Technology - An Overview. Trop J Pharm Res 2012; 11(1):153-164 doi: 10.4314/tjpr.v11i1.20

© 2012 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

The completion of whole genome sequencing projects has led to a rapid increase in the availability of genetic information. In the field of transcriptomics, the emergence of microarray-based technologies and the design of DNA biochips allow high-throughput studies of RNA expression in cell and tissue at a given moment. It has emerged as one of the most important technology in the field of molecular biology and transcriptomics. Arrays of oligonucleotide or DNA sequences are being used for genome-wide genotyping and expression profiling, and several potential clinical applications have begun to emerge as our understanding of these techniques and the data they generate improves. From its emergence to date, several database, software and technology updates have been developed in the field of microarray technology. This paper reviews basics and updates of each microarray technology and serves to introduce newly compiled resources that will provide specialist information in this area.

Keywords: Microarray, Databases, cDNA array, Oligonucleotide array

Impact Factor
Thompson Reuters (ISI): 0.6 (2023)
H-5 index (Google Scholar): 49 (2023)

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