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

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

ABSTRACT 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....

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Autor principal: Irene Ramos
Formato: article
Lenguaje:EN
Publicado: American Society for Microbiology 2020
Materias:
antibodies
data science
influenza vaccines
influenza virus
predictive modeling
transcriptomics
Microbiology
QR1-502
Acceso en línea:https://doaj.org/article/dbc421d73b504dbdb756ce4130cb7ef2
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spelling oai:doaj.org-article:dbc421d73b504dbdb756ce4130cb7ef22021-11-15T15:29:17ZmSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus—May the Data Be with You10.1128/mSphere.00085-202379-5042https://doaj.org/article/dbc421d73b504dbdb756ce4130cb7ef22020-04-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSphere.00085-20https://doaj.org/toc/2379-5042ABSTRACT 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.Irene RamosAmerican Society for Microbiologyarticleantibodiesdata scienceinfluenza vaccinesinfluenza viruspredictive modelingtranscriptomicsMicrobiologyQR1-502ENmSphere, Vol 5, Iss 2 (2020)
institution DOAJ
collection DOAJ
language EN
topic antibodies
data science
influenza vaccines
influenza virus
predictive modeling
transcriptomics
Microbiology
QR1-502
spellingShingle antibodies
data science
influenza vaccines
influenza virus
predictive modeling
transcriptomics
Microbiology
QR1-502
Irene Ramos
mSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus—May the Data Be with You
description ABSTRACT 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 article
author Irene Ramos
author_facet Irene Ramos
author_sort Irene Ramos
title 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_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_sort msphere of influence: predicting immune responses and susceptibility to influenza virus—may the data be with you
publisher American Society for Microbiology
publishDate 2020
url https://doaj.org/article/dbc421d73b504dbdb756ce4130cb7ef2
work_keys_str_mv AT ireneramos msphereofinfluencepredictingimmuneresponsesandsusceptibilitytoinfluenzavirusmaythedatabewithyou
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