Publication detail

Signal Based Feature Selection for Fast Classification of Sequences in Metagenomics

SEDLÁŘ, K.

Original Title

Signal Based Feature Selection for Fast Classification of Sequences in Metagenomics

Type

conference paper

Language

English

Original Abstract

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.

Keywords

metagenomics, WGS, genomic signal

Authors

SEDLÁŘ, K.

Released

28. 4. 2016

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

Location

Brno

ISBN

978-80-214-5350-0

Book

Proceedings of the 22nd Conference STUDENT EEICT 2016

Pages from

558

Pages to

562

Pages count

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"
}