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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Society for Microbiology
2020
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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. |
format | Online Article Text |
id | pubmed-7082138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ramosirene msphereofinfluencepredictingimmuneresponsesandsusceptibilitytoinfluenzavirusmaythedatabewithyou |