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mSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus—May the Data Be with You

Irene Ramos works in the field of immunology to viral infections. In this mSphere of Influence article, she reflects on how “Global analyses of human immune variation reveal baseline predictors of postvaccination responses” by Tsang et al. (Cell 157:499–513, 2014, https://doi.org/10.1016/j.cell.2014...

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Detalles Bibliográficos
Autor principal: Ramos, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082138/
https://www.ncbi.nlm.nih.gov/pubmed/32188748
http://dx.doi.org/10.1128/mSphere.00085-20
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author Ramos, Irene
author_facet Ramos, Irene
author_sort Ramos, Irene
collection PubMed
description Irene Ramos works in the field of immunology to viral infections. In this mSphere of Influence article, she reflects on how “Global analyses of human immune variation reveal baseline predictors of postvaccination responses” by Tsang et al. (Cell 157:499–513, 2014, https://doi.org/10.1016/j.cell.2014.03.031) and “A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection” by Fourati et al. (Nat Commun 9:4418, 2018, https://doi.org/10.1038/s41467-018-06735-8) made an impact on her by highlighting the importance of data science methods to understand virus-host interactions.
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spelling pubmed-70821382020-04-02 mSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus—May the Data Be with You Ramos, Irene mSphere Commentary Irene Ramos works in the field of immunology to viral infections. In this mSphere of Influence article, she reflects on how “Global analyses of human immune variation reveal baseline predictors of postvaccination responses” by Tsang et al. (Cell 157:499–513, 2014, https://doi.org/10.1016/j.cell.2014.03.031) and “A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection” by Fourati et al. (Nat Commun 9:4418, 2018, https://doi.org/10.1038/s41467-018-06735-8) made an impact on her by highlighting the importance of data science methods to understand virus-host interactions. American Society for Microbiology 2020-03-18 /pmc/articles/PMC7082138/ /pubmed/32188748 http://dx.doi.org/10.1128/mSphere.00085-20 Text en Copyright © 2020 Ramos. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Commentary
Ramos, Irene
mSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus—May the Data Be with You
title mSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus—May the Data Be with You
title_full mSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus—May the Data Be with You
title_fullStr mSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus—May the Data Be with You
title_full_unstemmed mSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus—May the Data Be with You
title_short mSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus—May the Data Be with You
title_sort msphere of influence: predicting immune responses and susceptibility to influenza virus—may the data be with you
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082138/
https://www.ncbi.nlm.nih.gov/pubmed/32188748
http://dx.doi.org/10.1128/mSphere.00085-20
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