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Published on: June 21, 2018
SESAME (SEquence Sorter & AMplicon Explorer): genotyping based on high-throughput multiplex amplicon sequencing.
Emese Meglécz1, Sylvain Piry, Erick Desmarais
1Aix-Marseille Université, CNRS, IRD, UMR 6116-IMEP, Equipe Evolution, Génome et Environnement, Marseille, France. emese.meglecz@univ-provence.fr
Bioinformatics (Oxford, England)
|November 19, 2010
Summary
SESAME is a web application for genotyping using next-generation sequencing (NGS) amplicon data. It aids in allele identification and validation for evolutionary biology research.
Area of Science:
- Evolutionary biology
- Genetics
- Bioinformatics
Background:
- Next-generation sequencing (NGS) technologies have advanced the scale of genetic data acquisition.
- Genotyping short amplicons is crucial for characterizing genetic diversity.
Purpose of the Study:
- To introduce SESAME, a web application package designed to assist in the genotyping of multiplexed individuals using NGS amplicon sequencing.
- To facilitate allele identification and validation from large sequence datasets.
Main Methods:
- SESAME automatically assigns sequencing reads to specific loci and individuals.
- It incorporates read correction capabilities when standard samples are provided.
- A graphical user interface (GUI) supports allele validation through sequence analysis and decision-making tools.
Main Results:
- SESAME streamlines the process of genotyping multiplexed samples.
- The application aids in accurate allele identification from NGS amplicon data.
- It provides tools for efficient validation of identified alleles.
Conclusions:
- SESAME simplifies and enhances the process of genetic diversity characterization through amplicon sequencing.
- The tool is valuable for researchers working with large-scale genetic data in evolutionary biology.
- It offers an intuitive platform for allele identification and validation using NGS data.
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