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AMPLISAS: a web server for multilocus genotyping using next-generation amplicon sequencing data.

Alvaro Sebastian1, Magdalena Herdegen1, Magdalena Migalska1

  • 1Evolutionary Biology Group, Faculty of Biology, Adam Mickiewicz University, ul. Umultowska 89, 61-614, Poznan, Poland.

Molecular Ecology Resources
|August 11, 2015
PubMed
Summary
This summary is machine-generated.

Next-generation sequencing (NGS) amplicon sequencing (AS) enables deep genotyping but faces errors. The AMPLISAS tool efficiently corrects these errors, providing accurate allele data for complex genomic regions like the major histocompatibility complex (MHC).

Keywords:
amplicon sequencinggenotypingmajor histocompatibility complexnext generation sequencingweb server

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Next-generation sequencing (NGS) facilitates high-throughput amplicon sequencing (AS) for large-scale genetic studies.
  • Amplicon sequencing is crucial for genotyping gene families, including the major histocompatibility complex (MHC), where primer design is challenging.
  • High error rates inherent in NGS technologies and PCR processes limit the accuracy of AS data.

Purpose of the Study:

  • To develop and validate a bioinformatic tool, AMPLISAS, for efficient and accurate analysis of amplicon sequencing data.
  • To address the limitations of NGS error rates in AS by providing robust data processing.
  • To simplify the interpretation of complex genotyping data, particularly for the MHC.

Main Methods:

  • AMPLISAS employs a three-step pipeline: read demultiplexing, unique sequence clustering, and erroneous sequence filtering.
  • The tool processes amplicon sequencing data generated by various NGS platforms.
  • Allele sequences and frequencies are output in an easily interpretable Excel format.

Main Results:

  • AMPLISAS successfully performs read demultiplexing, clustering, and error filtering for AS data.
  • The tool provides accurate allele sequences and frequencies, facilitating genotyping.
  • Benchmarking against established MHC genotyping datasets confirms AMPLISAS's reliable performance across different NGS technologies.

Conclusions:

  • AMPLISAS offers a user-friendly yet customizable solution for analyzing amplicon sequencing data.
  • The tool effectively mitigates NGS-related errors, enhancing the reliability of genetic analyses.
  • AMPLISAS is a valuable resource for researchers involved in high-throughput genotyping, especially for complex genomic regions like the MHC.