Publication detail

ANALYSIS OF MAIN OTU PICKING METHODS BY BIPARTITE GRAPHS

ŠAFÁROVÁ, M.

Original Title

ANALYSIS OF MAIN OTU PICKING METHODS BY BIPARTITE GRAPHS

English Title

ANALYSIS OF MAIN OTU PICKING METHODS BY BIPARTITE GRAPHS

Type

conference paper

Language

Czech

Original Abstract

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.

English abstract

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.

Keywords

bipartite graphs; microbiome diversity; OTU picking

Key words in English

bipartite graphs; microbiome diversity; OTU picking

Authors

ŠAFÁROVÁ, M.

Released

27. 4. 2017

ISBN

978-80-214-5496-5

Book

Proceedings of the 23rd Conference STUDENT EEICT 2017

Pages from

152

Pages to

154

Pages count

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"
}