Back to search

Article

Enhancing SARS-CoV-2 Lineage surveillance through the integration of a simple and direct qPCR-based protocol adaptation with established machine learning algorithms

2024-08-10

Abstract excerpt

<h4>ABSTRACT</h4> The emergence of the SARS-CoV-2 and continuous spread of its descendent lineages have posed unprecedented challenges to the global public healthcare system. Here we present an inclusive approach integrating genomic sequencing and qPCR-based protocols to increment monitoring of variant Omicron sublineages. Viral RNA samples were fast tracked for genomic surveillance following the detection of SARS...

Topics

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

Identifiers and source

Literature Corpus work
c3c51f16-9fe2-5969-9d3a-3296b273413f
DOI
10.1101/2024.08.09.24310239
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.
Enhancing SARS-CoV-2 Lineage surveillance through the integration of a simple and direct qPCR-based protocol adaptation with established machine learning algorithmsDOI 10.1101/2024.08.09.24310239
Select a neighboring publication to make it the new centre.