SCovid v2.0: a comprehensive resource to decipher the molecular characteristics across tissues in COVID-19 and other human coronaviruses
ABSTRACT SCovid v2.0 (http://bio-annotation.cn/scovid or http://bio-computing.hrbmu.edu.cn/scovid/) is an updated database designed to assist researchers in uncovering the molecular characteristics of coronavirus disease 2019 (COVID-19) across various tissues through transcriptome sequencing. Compar...
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Main Authors: | Zijun Zhu, Xinyu Chen, Guoyou He, Rui Yu, Chao Wang, Changlu Qi, Liang Cheng |
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Format: | Article |
Language: | English |
Published: |
American Society for Microbiology
2025-02-01
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Series: | Microbiology Spectrum |
Subjects: | |
Online Access: | https://journals.asm.org/doi/10.1128/spectrum.01933-24 |
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