Back to search

Article

COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance

2021-01-19

Abstract excerpt

<title>Abstract</title> <p>Genomic surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is critical to monitor the spread and evolution of the virus across different populations, geographical regions and species. Here, we present a streamlined workflow—COVseq—based on the CUTseq method that we previously described, which can be used to generate highly multiplexed sequencing libraries compa...

Topics

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

Identifiers and source

Literature Corpus work
8a798064-763f-56e8-95ba-7cad02b81cfa
DOI
10.21203/rs.3.rs-147464/v1
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.
COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillanceDOI 10.21203/rs.3.rs-147464/v1
Select a neighboring publication to make it the new centre.