Deep learning models for bacteria taxonomic classification of metagenomic data

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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Bibliographic Details
Main Authors: Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Giosue’ Lo Bosco, Giovanni Renda, Riccardo Rizzo, Salvatore Gaglio, Alfonso Urso
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BMC Bioinformatics
Subjects:
Metagenomic
Classification
CNN
DBN
k-mer representation
Amplicon
Online Access:http://link.springer.com/article/10.1186/s12859-018-2182-6

Internet

http://link.springer.com/article/10.1186/s12859-018-2182-6

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