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ANALYSIS OF MAIN OTU PICKING METHODS BY BIPARTITE GRAPHS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU123502" target="_blank" >RIV/00216305:26220/17:PU123502 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    ANALYSIS OF MAIN OTU PICKING METHODS BY BIPARTITE GRAPHS

  • Original language description

    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.

  • Czech name

    ANALYSIS OF MAIN OTU PICKING METHODS BY BIPARTITE GRAPHS

  • Czech description

    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.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 23rd Conference STUDENT EEICT 2017

  • ISBN

    978-80-214-5496-5

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    152-154

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Brno

  • Event date

    Apr 27, 2017

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article