Deep learning models for bacteria taxonomic classification of metagenomic data

Abstract Background An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered as a barcode for bacteria classification at the genus level, but till n...

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Main Authors: Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Giosue’ Lo Bosco, Giovanni Renda, Riccardo Rizzo, Salvatore Gaglio, Alfonso Urso
Formato: Artigo
Idioma:Inglês
Publicado: BMC 2018-07-01
Series:BMC Bioinformatics
Assuntos:
Metagenomic
Classification
CNN
DBN
k-mer representation
Amplicon
Acceso en liña:http://link.springer.com/article/10.1186/s12859-018-2182-6
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