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Title |
Microarray Data Analysis and Mining Tools |
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Authors |
Saravanakumar Selvaraj, Jeyakumar Natarajan* |
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Affiliation |
Data Mining and Text Mining Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore - 641 046, India |
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n.jeyakumar@yahoo.co.in; *Corresponding author |
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Article Type |
Hypothesis |
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Date |
Received February 02, 2011; Accepted February 03, 2011; Published April 22, 2011
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Abstract |
Microarrays are one of the latest breakthroughs in experimental molecular biology that allow monitoring the expression levels of tens of thousands of genes simultaneously. Arrays have been applied to studies in gene expression, genome mapping, SNP discrimination, transcription factor activity, toxicity, pathogen identification and many other applications. In this paper we concentrate on discussing various bioinformatics tools used for microarray data mining tasks with its underlying algorithms, web resources and relevant reference. We emphasize this paper mainly for digital biologists to get an aware about the plethora of tools and programs available for microarray data analysis. First, we report the common data mining applications such as selecting differentially expressed genes, clustering, and classification. Next, we focused on gene expression based knowledge discovery studies such as transcription factor binding site analysis, pathway analysis, protein- protein interaction network analysis and gene enrichment analysis. |
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Keywords |
Microarrays; Gene expression; Microarray data analysis; Bioinformatics tools. |
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Citation |
Selvaraj & Natarajan. Bioinformation 6(3): 95-99 (2011) |
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |