Signal Based Feature Selection for Fast Classification of Sequences in Metagenomics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU119022" target="_blank" >RIV/00216305:26220/16:PU119022 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Signal Based Feature Selection for Fast Classification of Sequences in Metagenomics
Original language description
The rapid development in DNA sequencing techniques brings completely new possibilities into metagenomics research. No longer is the whole metagenome sequencing an issue. On the other hand, this progress lies new demands on bioinformatics tools indented to process this kind of data. Unlike the amplicon based sequencing where every sequence represents a particular gene, the whole metagenome sequencing produce sequences that are random pieces of genomes in the metagenome. Therefore, the reference database for identification of these sequences cannot be used. Here, we present fast feature selection based on genomic signal processing for alignment-free classification of sequences in the metagenome.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 22nd Conference STUDENT EEICT 2016
ISBN
978-80-214-5350-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
558-562
Publisher name
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních
Place of publication
Brno
Event location
Brno
Event date
Apr 28, 2016
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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