Back to search

Article

<i>À la carte</i> , <i>Streptococcus pneumoniae</i> capsular typing: using MALDI-TOF mass spectrometry and machine learning algorithms as complementary tools for the determination of PCV13 serotypes and the most prevalent NON PCV13 serotypes according to Argentina’s epidemiology

2022-12-22

Abstract excerpt

<h4>ABSTRACT</h4> Laboratory surveillance of Streptococcus pneumoniae serotypes is crucial for the successful implementation of vaccines to prevent invasive pneumococcal diseases. The reference method of serotyping is the Quellung reaction, which is labor-intensive and expensive. In the last few years, the introduction of MALDI-TOF MS into the microbiology laboratory has been revolutionary. In brief, this new t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
35465ad8-13db-5651-b50f-b6acf76970e0
DOI
10.1101/2022.12.22.521467
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
<i>À la carte</i> , <i>Streptococcus pneumoniae</i> capsular typing: using MALDI-TOF mass spectrometry and machine learning algorithms as complementary tools for the determination of PCV13 serotypes and the most prevalent NON PCV13 serotypes according to Argentina’s epidemiologyDOI 10.1101/2022.12.22.521467
À la carte, Streptococcus pneumoniae capsular typing: using MALDI-TOF mass spectrometry and machine-learning algorithms as complementary tools for the determination of PCV13 serotypes and the most prevalent NON PCV13 serotypes according to Argentina’s epidemiologySemantic proximity
Episode I. Exploring Streptococcus pneumoniae capsular typing through MALDI-TOF mass spectrometry and machine-learning algorithms in Argentina: Identifying prevalent NON PCV13 serotypes alongside PCV13 serotypes.Semantic proximity
PfaSTer: A ML-powered serotype caller for <i>Streptococcus pneumoniae</i> genomesSemantic proximity
Rapid Classification of Multilocus Sequence Subtype for Group B Streptococcus Based on MALDI-TOF Mass Spectrometry and Statistical ModelsSemantic proximity
Identification of <i>Klebsiella pneumoniae</i> complex members using MALDI-TOF mass spectrometrySemantic proximity
Identification and capsular serotype sequetyping of <i>Streptococcus pneumoniae</i> strainsSemantic proximity
MALDI-TOF mass spectrometry for sub-typing of Streptococcus pneumoniae.Semantic proximity
The Molecular Approaches and Challenges of Streptococcus pneumoniae Serotyping for Epidemiological Surveillance in the Vaccine EraSemantic proximity
Rapid classification of group B Streptococcus serotypes based on matrix-assisted laser desorption ionization-time of flight mass spectrometry and machine learning techniquesSemantic proximity
<i>Streptococcus pneumoniae</i> serotype 33G: genetic, serological, and structural analysis of a new capsule typeSemantic proximity
Population genetic structure, serotype distribution and antibiotic resistance of Streptococcus pneumoniae causing invasive disease in children in ArgentinaSemantic proximity
PfaSTer: a machine learning-powered serotype caller for Streptococcus pneumoniae genomesSemantic proximity
Select a neighboring publication to make it the new centre.