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Related Experiment Video

Updated: May 24, 2026

A Fast Silver Staining Protocol Enabling Simple and Efficient Detection of SSR Markers using a Non-denaturing Polyacrylamide Gel
10:27

A Fast Silver Staining Protocol Enabling Simple and Efficient Detection of SSR Markers using a Non-denaturing Polyacrylamide Gel

Published on: April 20, 2018

Towards an efficient computational mining approach to identify EST-SSR markers.

Jagajjit Sahu, Priyabrata Sen, Manabendra Dutta Choudhury

    Bioinformation
    |March 16, 2012
    PubMed
    Summary

    Developing SSR markers from ESTs computationally is efficient. This in silico approach for microsatellite marker development saves time and cost, aiding genetic variability studies and marker-assisted selection.

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    Area of Science:

    • Genomics
    • Molecular Biology
    • Bioinformatics

    Background:

    • Microsatellites, or Simple Sequence Repeats (SSRs), are valuable genetic markers due to their abundance, reproducibility, polymorphism, and co-dominant nature.
    • They are crucial for assessing genetic variability within species and for marker-assisted selection in breeding programs.
    • Expressed Sequence Tags (ESTs) are a primary source for identifying SSRs.

    Purpose of the Study:

    • To provide an overview of the in silico approach for developing SSR markers from EST sequences.
    • To highlight the efficiency and advantages of computational methods over traditional techniques.
    • To introduce freely available tools for academic use in EST-SSR marker development.

    Main Methods:

    • Utilizing computational tools and web interfaces for analyzing EST sequence databases.
    Keywords:
    BioinformaticsEST-SSRMicrosatellitesSSR Markersin silico approach

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    A Fast Silver Staining Protocol Enabling Simple and Efficient Detection of SSR Markers using a Non-denaturing Polyacrylamide Gel
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    Published on: April 20, 2018

    Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
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  • Employing in silico methods to detect SSRs within EST sequences.
  • Developing EST-SSR markers through bioinformatic analysis.
  • Main Results:

    • The computational approach significantly reduces the time and cost associated with SSR marker development.
    • Various efficient, freely available tools facilitate the analysis of EST sequences for marker discovery.
    • This in silico strategy enables the identification of potential EST-SSR markers.

    Conclusions:

    • In silico development of SSR markers from ESTs is a cost-effective and time-efficient strategy.
    • Bioinformatic tools provide a powerful platform for discovering novel SSR markers.
    • This approach supports genetic research, species characterization, and marker-assisted selection.