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Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Myco...

Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Myco...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4703848

Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis

About this item

Full title

Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2015-12, Vol.6 (1), p.10063-10063, Article 10063

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The rise of antibiotic-resistant bacteria has led to an urgent need for rapid detection of drug resistance in clinical samples, and improvements in global surveillance. Here we show how de Bruijn graph representation of bacterial diversity can be used to identify species and resistance profiles of clinical isolates. We implement this method for
...

Alternative Titles

Full title

Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4703848

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4703848

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/ncomms10063

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