Journal article icon

Journal article

Identifying genes associated with invasive disease in S. pneumoniae by applying a machine learning approach to whole genome sequence typing data

Abstract:

Streptococcus pneumoniae, a normal commensal of the upper respiratory tract, is a major public health concern, responsible for substantial global morbidity and mortality due to pneumonia, meningitis and sepsis. Why some pneumococci invade the bloodstream or CSF (so-called invasive pneumococcal disease; IPD) is uncertain. In this study we identify genes associated with IPD. We transform whole genome sequence (WGS) data into a sequence typing scheme, while avoiding the caveat of using an arbitr...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's Version

Actions


Access Document


Files:
Publisher copy:
10.1038/s41598-019-40346-7

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Zoology
Oxford college:
Linacre College
Role:
Author
Expand authors...
Publisher:
Nature Research Publisher's website
Journal:
Scientific Reports Journal website
Volume:
9
Issue:
2019
Pages:
Article: 4049
Publication date:
2019-03-11
Acceptance date:
2019-02-04
DOI:
EISSN:
2045-2322
Pubs id:
pubs:972965
URN:
uri:ddf77e80-dd72-46c6-9a58-aa8e8b7791bd
UUID:
uuid:ddf77e80-dd72-46c6-9a58-aa8e8b7791bd
Local pid:
pubs:972965

Terms of use


Metrics


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP