HaploCoV: unsupervised classification and rapid detection of novel emerging variants of SARS-CoV-2.

Chiara M, Horner DS, Ferrandi E, Gissi C, Pesole G

DOI: 10.1038/s42003-023-04784-4
Published: 2023 Apr 22
Container: Communications biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s42003-023-04784-4,
  title = {HaploCoV: unsupervised classification and rapid detection of novel emerging variants of SARS-CoV-2.},
  author = {Chiara M and Horner DS and Ferrandi E and Gissi C and Pesole G},
  year = {2023},
  journal = {Communications biology},
  doi = {10.1038/s42003-023-04784-4},
  url = {https://doi.org/10.1038/s42003-023-04784-4}
}

RIS

TY  - JOUR
TI  - HaploCoV: unsupervised classification and rapid detection of novel emerging variants of SARS-CoV-2.
AU  - Chiara M
AU  - Horner DS
AU  - Ferrandi E
AU  - Gissi C
AU  - Pesole G
PY  - 2023
JO  - Communications biology
DO  - 10.1038/s42003-023-04784-4
UR  - https://doi.org/10.1038/s42003-023-04784-4
ER  -

APA

M, C., DS, H., E, F., C, G., & G, P. (2023). HaploCoV: unsupervised classification and rapid detection of novel emerging variants of SARS-CoV-2.. Communications biology. https://doi.org/10.1038/s42003-023-04784-4

Source records

pubmed · retrieved 2026-09-27T14:34:15.677Z