alexa Bioinformatics Analysis of Distribution of Microsatelli
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
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Research Article

Bioinformatics Analysis of Distribution of Microsatellite Markers (SSRs) / Single Nucleotide Polymorphism (SNPs) in Expressed Transcripts of Prosopis Juliflora: Frequency and Distribution

Sablok G * and N.S.Shekhawat

Computational Unit, Biotechnology Center, Jai Narain Vyas University, Jodhpur-342033.

*Corresponding Author:
Dr. Sablok G
Computational Unit, Biotechnology Center
Jai Narain Vyas University, Jodhpur-342033
Email: [email protected]

Received Date: September 27, 2008; Accepted Date: November 20, 2008; Published Date: December 26, 2008

Citation: Sablok G, Shekhawat NS (2008) Bioinformatics Analysis of Distribution of Microsatellite Markers (SSRs) / Single Nucleotide Polymorphism (SNPs) in Expressed Transcripts of Prosopis Juliflora: Frequency and Distribution. J Comput Sci Syst Biol 1:087-091. doi: 10.4172/jcsb.1000008

Copyright: © 2008 Sablok G, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



The present paper aims to identify the distribution of Microsatellite markers (SSRs)/Single Nucleotide Polymorphism (SNPs) as resource tools for the analysis of interspecies hypervariability in Prosopis spp. Microsatellites are ubiquitously repeated extension of 1-5 bp motif extended throughout the genome. The dbEST division of Genbank contains 1467 ESTs of Prosopis juliflora which have been utilized for the development of genic microsatellite markers (SSRs). Locally installed assembling program was used for the cluster analysis of the EST. Analysis was performed on a Linux Cluster system. The analysis of the putative unigenes has been shown to have most abundant motif of A/T followed by dinucleotide AG/CT and trinucleotide repeat AAG/CTT. EST-derived SNPs are becoming the resources for the development of SNP markers. The relative rates of development of the high throughput computational methods for the detection of SNPs (Single Nucleotide Polymorphism) and small indels (insertion / deletion) has gained wide applications in the field of the molecular markers.


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