Identification of severity related mutation hotspots in SARS-CoV-2 using a density-based clustering approach.

Youn S, Jeong D, Kwon H, Han E, Kim S, Jung I

Open source

DOI: 10.1186/s13040-025-00476-3
Published: 2025 Sep 1
Container: BioData mining
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s13040-025-00476-3,
  title = {Identification of severity related mutation hotspots in SARS-CoV-2 using a density-based clustering approach.},
  author = {Youn S and Jeong D and Kwon H and Han E and Kim S and Jung I},
  year = {2025},
  journal = {BioData mining},
  doi = {10.1186/s13040-025-00476-3},
  url = {https://doi.org/10.1186/s13040-025-00476-3}
}

RIS

TY  - JOUR
TI  - Identification of severity related mutation hotspots in SARS-CoV-2 using a density-based clustering approach.
AU  - Youn S
AU  - Jeong D
AU  - Kwon H
AU  - Han E
AU  - Kim S
AU  - Jung I
PY  - 2025
JO  - BioData mining
DO  - 10.1186/s13040-025-00476-3
UR  - https://doi.org/10.1186/s13040-025-00476-3
ER  -

APA

S, Y., D, J., H, K., E, H., S, K., & I, J. (2025). Identification of severity related mutation hotspots in SARS-CoV-2 using a density-based clustering approach.. BioData mining. https://doi.org/10.1186/s13040-025-00476-3

Source records

pubmed · retrieved 2026-11-10T13:45:17.028Z
europe-pmc · retrieved 2026-11-10T13:45:17.026Z
doaj · retrieved 2026-11-10T13:45:17.017Z