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Title |
Towards an efficient computational mining approach to identify EST-SSR markers |
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Authors |
Jagajjit Sahu1, 2, Priyabrata Sen1, Manabendra Dutta Choudhury2, Madhumita Barooah1, Mahendra Kumar Modi1, Anupam Das Talukdar2* |
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Affiliation |
1Department of Agricultural Biotechnology, AAU, Jorhat, Assam, India; 2Department of Life Science and Bioinformatics, Assam University, Silchar, Assam, India.
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anupam@bioinfoaus.ac.in; *Corresponding author
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Article Type |
Views & challenges
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Date |
Received February 09, 2012; Accepted February 11, 2012; Published February 28, 2012 |
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Abstract |
GMicrosatellites are the markers of choice due to their high abundance reproducibility, degree of polymorphism and co-dominant nature. These are mainly used for studying the genetic variability in different species and Marker assisted selection. Expressed Sequence Tags (ESTs) serve as the main resource for Simple Sequence Repeats (SSRs). The computational approach for detecting SSRs and developing SSR markers from EST-SSRs is preferred over the conventional methods as it reduces time and cost to a great extent. The available EST sequence databases, various web interfaces and standalone tools provide the platform for an easy analysis of the EST sequences leading to the development of potential EST-SSR Markers. This paper is an overview of in silico approach to develop SSR Markers from the EST sequence using some of the most efficient tools that are available freely for academic purpose.
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Keywords |
Bioinformatics, EST-SSR, in silico approach, Microsatellites, SSR Markers |
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Citation |
Sahu et al.
Bioinformation 8(4): 201-202 (2012) |
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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. |