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Sequencing technologies and tools for short tandem repeat variation detection.

Minh Duc Cao, Sureshkumar Balasubramanian, Mikael Bodén

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    |February 8, 2014
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    Summary
    This summary is machine-generated.

    Analyzing short tandem repeat (STR) variation is crucial for understanding genetic diseases. This study evaluates sequencing technologies and bioinformatics tools, finding that specific choices significantly impact the accuracy of detecting STR variation relevant to neurodegenerative disorders.

    Keywords:
    bioinformatics toolshigh-throughput sequencingsequence alignmentshort tandem repeat variationvariant calling

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    Area of Science:

    • Genomics
    • Bioinformatics
    • Human Genetics

    Background:

    • Short tandem repeats (STRs) are highly polymorphic DNA sequences.
    • STR variation is linked to numerous phenotypic traits, including neurodegenerative diseases.
    • Advances in high-throughput sequencing offer new avenues for studying genetic variation.

    Purpose of the Study:

    • To comprehensively survey and empirically evaluate current sequencing technologies and bioinformatics tools for STR variation analysis.
    • To determine the impact of different analysis pipelines on the accuracy and efficiency of STR variation detection.
    • To identify optimal sequencing and bioinformatics strategies for detecting STR variation relevant to human diseases.

    Main Methods:

    • Systematic review and empirical evaluation of various high-throughput sequencing technologies.
    • Assessment of different bioinformatics tools for alignment and repeat genotyping.
    • Comparative analysis of pipeline performance in detecting STR variation.
    • Focus on read length and paired-end sequencing strategies.

    Main Results:

    • No single bioinformatics pipeline is universally optimal for all STR analysis scenarios.
    • The selection of alignment and repeat genotyping tools critically influences the accuracy and efficiency of STR variation detection.
    • Longer read lengths or paired-end sequencing, combined with appropriate genotyping tools, are essential for detecting disease-relevant STR variation.

    Conclusions:

    • Effective analysis of short tandem repeat variation requires careful selection of sequencing technologies and bioinformatics tools.
    • Specific tool and technology choices are paramount for accurate detection of STR variation linked to neurodegenerative diseases.
    • Further development of bioinformatics tools for repetitive sequence analysis is needed.