Log in to save to my catalogue

Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic...

Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2121479657

Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance

About this item

Full title

Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2018-10, Vol.9 (1), p.4306-9, Article 4306

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Mycobacterium tuberculosis
is a serious human pathogen threat exhibiting complex evolution of antimicrobial resistance (AMR). Accordingly, the many publicly available datasets describing its AMR characteristics demand disparate data-type analyses. Here, we develop a reference strain-agnostic computational platform that uses machine learning appr...

Alternative Titles

Full title

Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2121479657

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2121479657

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-018-06634-y

How to access this item