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"
}