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Comparing K-mer based methods for improved classification of 16S sequences

Comparing K-mer based methods for improved classification of 16S sequences

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4487979

Comparing K-mer based methods for improved classification of 16S sequences

About this item

Full title

Comparing K-mer based methods for improved classification of 16S sequences

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2015-07, Vol.16 (1), p.205-205, Article 205

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

The need for precise and stable taxonomic classification is highly relevant in modern microbiology. Parallel to the explosion in the amount of sequence data accessible, there has also been a shift in focus for classification methods. Previously, alignment-based methods were the most applicable tools. Now, methods based on counting K-mers by sliding...

Alternative Titles

Full title

Comparing K-mer based methods for improved classification of 16S sequences

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4487979

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4487979

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-015-0647-4

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