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International Journal of Advanced Research
Article . 2020 . Peer-reviewed
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ZENODO
Article . 2020
License: CC BY
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INTEGRATED STANDALONE TOOL FOR IDENTIFICATION OF MICROSATELLITES

Authors: Umang; Singh, Surya Pratap;

INTEGRATED STANDALONE TOOL FOR IDENTIFICATION OF MICROSATELLITES

Abstract

Microsatellites or simple sequence repeats are short tandem repeats of 1 to 6 nucleotides in length. These are widely used as molecular markers in plants, animals and human genome sequences. These Play important role in studying DNA variations, differentiate organisms at the molecular level, help in studying the evolutionary path of various genes, forensics studies, disease identification, paternity researches, etc. Laboratory identification of microsatellites is costly and time-consuming. Many computing tools, both web-based and standalone have been developed to detect simple sequence repeats. Presently available web-based microsatellite mining tools are costly to deploy and have technical complications of usages. Whereas standalone tools available are not user-friendly and easily accessible. Due to processing inadequateness in available tools, an effort was made to develop a new integrated tool with a rich graphic user interface in Java Net beans 8.0.2 and an algorithm was implemented in java to call Perl scripts, primer3 software and BlastN in the pipeline.

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Keywords

Simple Sequence Repeats Perfect Compound MISA Standalone Tool Data Mining

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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