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Descripción
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| Most biologists can easily access NGS technologies and data in order to characterize the microbial diversity of a sample with 16S rDNA amplicon sequencing. However, the output of this kind of experiment can be challenging to handle. We assessed the different options to address 16S rDNA amplicon data analysis in Galaxy, and will highlight the benefits and drawbacks of the existing solutions. Indeed, even if the bioinformatics community now provides numerous tools allowing treatment of this sort of data, determining which software best fits the user?s needs is not trivial. The choice of the software and the algorithms one should use is important, as it will impact the output of the experiment and relies on the characteristics of the data and the user experience. Here we present the different existing solutions to analyze 16S rDNA amplicon sequencing data inside Galaxy. | |
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Internacional
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Si |
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Nombre congreso
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2015 Galaxy Community Conference (GCC2015) |
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Tipo de participación
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970 |
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Lugar del congreso
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Norwick (Reino Unido) |
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Revisores
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Si |
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ISBN o ISSN
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0000000000 |
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DOI
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Fecha inicio congreso
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06/07/2015 |
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Fecha fin congreso
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08/07/2015 |
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Desde la página
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7 |
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Hasta la página
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7 |
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Título de las actas
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2015 Galaxy Community Conference (GCC2015) |