Detail publikace

Signal Based Feature Selection for Fast Classification of Sequences in Metagenomics

SEDLÁŘ, K.

Originální název

Signal Based Feature Selection for Fast Classification of Sequences in Metagenomics

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

metagenomics, WGS, genomic signal

Autoři

SEDLÁŘ, K.

Vydáno

28. 4. 2016

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

Místo

Brno

ISBN

978-80-214-5350-0

Kniha

Proceedings of the 22nd Conference STUDENT EEICT 2016

Strany od

558

Strany do

562

Strany počet

5

BibTex

@inproceedings{BUT124581,
  author="Karel {Sedlář}",
  title="Signal Based Feature Selection for Fast Classification of Sequences in Metagenomics",
  booktitle="Proceedings of the 22nd Conference STUDENT EEICT 2016",
  year="2016",
  pages="558--562",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  address="Brno",
  isbn="978-80-214-5350-0"
}