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Signal Based Processing of Metagenomic Data from Nanopore Sequencing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU123499" target="_blank" >RIV/00216305:26220/17:PU123499 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.utee.feec.vutbr.cz/eeict/2017/EEICT%202017-sborn%C3%ADk-komplet.pdf" target="_blank" >http://www.utee.feec.vutbr.cz/eeict/2017/EEICT%202017-sborn%C3%ADk-komplet.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Signal Based Processing of Metagenomic Data from Nanopore Sequencing

  • Original language description

    The revolutionary sequencing technology introduced by Oxford Nanopore Technologies – MinION holds a great promise in the field of metagenomics due to its low cost, produced long reads and small size, which makes it available also for field work. The only problem preventing this technology from reaching its full potential is the lack of available computational tools for handling the produced data. Here we present an algorithm for processing of the raw signal sequences generated by nanopore sequencing for metagenomic purposes allowing to remove viral sequences from a contaminated metagenomic sample.

  • Czech name

  • Czech description

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

    694

  • Pages from-to

    324-328

  • Publisher name

    Neuveden

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 27, 2017

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article