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A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection
The response to respiratory viruses varies substantially between individuals, and there are currently no known molecular predictors from the early stages of infection. Here we conduct a community-based analysis to determine whether pre- or early post-exposure molecular factors could predict physiolo...
Autores principales: | Fourati, Slim, Talla, Aarthi, Mahmoudian, Mehrad, Burkhart, Joshua G., Klén, Riku, Henao, Ricardo, Yu, Thomas, Aydın, Zafer, Yeung, Ka Yee, Ahsen, Mehmet Eren, Almugbel, Reem, Jahandideh, Samad, Liang, Xiao, Nordling, Torbjörn E. M., Shiga, Motoki, Stanescu, Ana, Vogel, Robert, Pandey, Gaurav, Chiu, Christopher, McClain, Micah T., Woods, Christopher W., Ginsburg, Geoffrey S., Elo, Laura L., Tsalik, Ephraim L., Mangravite, Lara M., Sieberts, Solveig K. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6200745/ https://www.ncbi.nlm.nih.gov/pubmed/30356117 http://dx.doi.org/10.1038/s41467-018-06735-8 |
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