Environmental metagenome classification for constructing a microbiome fingerprint.
Identifieur interne : 000595 ( Main/Exploration ); précédent : 000594; suivant : 000596Environmental metagenome classification for constructing a microbiome fingerprint.
Auteurs : Jolanta Kawulok [Pologne] ; Michal Kawulok [Pologne] ; Sebastian Deorowicz [Pologne]Source :
- Biology direct [ 1745-6150 ] ; 2019.
Abstract
Nowadays, not only are single genomes commonly analyzed, but also metagenomes, which are sets of, DNA fragments (reads) derived from microbes living in a given environment. Metagenome analysis is aimed at extracting crucial information on the organisms that have left their traces in an investigated environmental sample.In this study we focus on the MetaSUB Forensics Challenge (organized within the CAMDA 2018 conference) which consists in predicting the geographical origin of metagenomic samples. Contrary to the existing methods for environmental classification that are based on taxonomic or functional classification, we rely on the similarity between a sample and the reference database computed at a reads level.
DOI: 10.1186/s13062-019-0251-z
PubMed: 31722729
Affiliations:
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<front><div type="abstract" xml:lang="en">Nowadays, not only are single genomes commonly analyzed, but also metagenomes, which are sets of, DNA fragments (reads) derived from microbes living in a given environment. Metagenome analysis is aimed at extracting crucial information on the organisms that have left their traces in an investigated environmental sample.In this study we focus on the MetaSUB Forensics Challenge (organized within the CAMDA 2018 conference) which consists in predicting the geographical origin of metagenomic samples. Contrary to the existing methods for environmental classification that are based on taxonomic or functional classification, we rely on the similarity between a sample and the reference database computed at a reads level.</div>
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