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Title |
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G-IMEx: A comprehensive software tool for detection of microsatellites from genome sequences |
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Authors |
Suresh B Mudunuri1, Pankaj Kumar4, Allam Appa Rao2, S Pallamsetty3, H A Nagarajaram4,* |
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Affiliation |
1Department of Computer Science and Engineering, Aditya Engineering College (AEC), Surampalem 533 437, India; 2Jawaharlal Nehru Technological University (JNTU), Kakinada, 533 003, India; 3Department of Computer Science and Systems Engineering, Andhra University College of Engineering (AUCE), Visakhapatnam 530 003, India; 4Laboratory of Computational Biology, Centre for DNA Fingerprinting and Diagnostics (CDFD), Hyderabad 500 001, India |
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Article Type |
Software
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Date |
Received June 28, 2010; Accepted August 25, 2010; Published November 1, 2010 |
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Abstract |
Microsatellites are ubiquitous short tandem repeats found in all known genomes and are known to play a very important role in various studies and fields including DNA fingerprinting, paternity studies, evolutionary studies, virulence and adaptation of certain bacteria and viruses etc. Due to the sequencing of several genomes and the availability of enormous amounts of sequence data during the past few years, computational studies of microsatellites are of interest for many researchers. In this context, we developed a software tool called Imperfect Microsatellite Extractor (IMEx), to extract perfect, imperfect and compound microsatellites from genome sequences along with their complete statistics. Recently we developed a user-friendly graphical-interface using JAVA for IMEx to be used as a stand-alone software named G-IMEx. G-IMEx takes a nucleotide sequence as an input and the results are produced in both html and text formats. The Linux version of G-IMEx can be downloaded for free from http://www.cdfd.org.in/imex |
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Keywords
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Bioinformatics Tool, Stand-alone program, Microsatellites, Simple Sequence Repeats, Genomes |
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Citation |
Mudunuri et al. Bioinformation, 5 (5) 221-223, 2010 |
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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. |