Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism approved]

V. Veljkovic; J. Vergara-Alert; J. Segalés; S. Paessler

doi:10.12688/F1000RESEARCH.22149.4

Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism approved]

V. Veljkovic, J. Vergara-Alert, J. Segalés, S. Paessler

Department of Animal Health and Anatomy

Research output: Contribution to journal › Article › Research › peer-review

5 Citations (Scopus)

Original language	English
Journal	F1000Research
DOIs	https://doi.org/10.12688/F1000RESEARCH.22149.4
Publication status	Published - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.12688/F1000RESEARCH.22149.4

https://ddd.uab.cat/record/327107

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title = "Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism approved]",

author = "V. Veljkovic and J. Vergara-Alert and J. Segal{\'e}s and S. Paessler",

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doi = "10.12688/F1000RESEARCH.22149.4",

language = "English",

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AU - Veljkovic, V.

AU - Vergara-Alert, J.

AU - Segalés, J.

AU - Paessler, S.

PY - 2021

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U2 - 10.12688/F1000RESEARCH.22149.4

DO - 10.12688/F1000RESEARCH.22149.4

M3 - Article

SN - 2046-1402

JO - F1000Research

JF - F1000Research

ER -

Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism approved]

UN SDGs

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