Detail publikace
ANALYSIS OF MAIN OTU PICKING METHODS BY BIPARTITE GRAPHS
ŠAFÁROVÁ, M.
Originální název
ANALYSIS OF MAIN OTU PICKING METHODS BY BIPARTITE GRAPHS
Anglický název
ANALYSIS OF MAIN OTU PICKING METHODS BY BIPARTITE GRAPHS
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
čeština
Originální abstrakt
Studies of ecosystems containing millions of microbial organisms, so called microbiomes, using DNA sequencing became very popular. The main step involves fast clustering of sequences belonging to the same operational taxonomic units (OTU) that represent the same or taxo-nomically related organisms. This step, known as OTU picking, can be performed by several tech-niques and significantly affects the final interpretation of the data. In this paper, a novel R/Biconductor package for microbiome data presentation using bipartite graphs is introduced while its benefits are demonstrated during comparison of 3 OTU picking techniques.
Anglický abstrakt
Studies of ecosystems containing millions of microbial organisms, so called microbiomes, using DNA sequencing became very popular. The main step involves fast clustering of sequences belonging to the same operational taxonomic units (OTU) that represent the same or taxo-nomically related organisms. This step, known as OTU picking, can be performed by several tech-niques and significantly affects the final interpretation of the data. In this paper, a novel R/Biconductor package for microbiome data presentation using bipartite graphs is introduced while its benefits are demonstrated during comparison of 3 OTU picking techniques.
Klíčová slova
bipartite graphs; microbiome diversity; OTU picking
Klíčová slova v angličtině
bipartite graphs; microbiome diversity; OTU picking
Autoři
ŠAFÁROVÁ, M.
Vydáno
27. 4. 2017
ISBN
978-80-214-5496-5
Kniha
Proceedings of the 23rd Conference STUDENT EEICT 2017
Strany od
152
Strany do
154
Strany počet
3
BibTex
@inproceedings{BUT135340,
author="Marcela {Šafárová}",
title="ANALYSIS OF MAIN OTU PICKING METHODS BY BIPARTITE GRAPHS",
booktitle="Proceedings of the 23rd Conference STUDENT EEICT 2017",
year="2017",
pages="152--154",
isbn="978-80-214-5496-5"
}