IMEx: imperfect microsatellite extractor. Motivation: Microsatellites, also known as simple sequence repeats, are the tandem repeats of nucleotide motifs of the size 1–6 bp found in every genome known so far. Their importance in genomes is well known. Microsatellites are associated with various disease genes, have been used as molecular markers in linkage analysis and DNA fingerprinting studies, and also seem to play an important role in the genome evolution. Therefore, it is of importance to study distribution, enrichment and polymorphism of microsatellites in the genomes of interest. For this, the prerequisite is the availability of a computational tool for extraction of microsatellites (perfect as well as imperfect) and their related information from whole genome sequences. Examination of available tools revealed certain lacunae in them and prompted us to develop a new tool. Results: In order to efficiently screen genome sequences for microsatellites (perfect as well as imperfect), we developed a new tool called IMEx (Imperfect Microsatellite Extractor). IMEx uses simple string-matching algorithm with sliding window approach to screen DNA sequences for microsatellites and reports the motif, copy number, genomic location, nearby genes, mutational events and many other features useful for in-depth studies. IMEx is more sensitive, efficient and useful than the available widely used tools. IMEx is available in the form of a stand-alone program as well as in the form of a web-server. Availability: A World Wide Web server and the stand-alone program are available for free access at http://220.127.116.11/IMEX/ or http://www.cdfd.org.in/imex
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- de Ridder, C.; Kourie, D.G.; Watson, B.W.; Fourie, T.R.; Reyneke, P.V.: Fine-tuning the search for microsatellites (2013)
- Chen, Chienming; Chen, Chihchia; Shih, Tsanhuang; Pai, Tunwen; Hu, Chinhua; Tzou, Wenshyong: Efficient algorithms for identifying orthologous simple sequence repeats of disease genes (2010)