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The use of systems biology and immunological big data to guide vaccine development
High-throughput technologies applied to the analysis of vaccine responses are likely to reveal the mechanisms responsible for vaccine-induced protection, aid understanding of vaccine safety and help accelerate vaccine development and clinical trials.
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4641354/ https://www.ncbi.nlm.nih.gov/pubmed/26555212 http://dx.doi.org/10.1186/s13073-015-0236-1 |
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author | Blohmke, Christoph J. O’Connor, Daniel Pollard, Andrew J. |
author_facet | Blohmke, Christoph J. O’Connor, Daniel Pollard, Andrew J. |
author_sort | Blohmke, Christoph J. |
collection | PubMed |
description | High-throughput technologies applied to the analysis of vaccine responses are likely to reveal the mechanisms responsible for vaccine-induced protection, aid understanding of vaccine safety and help accelerate vaccine development and clinical trials. |
format | Online Article Text |
id | pubmed-4641354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46413542015-11-12 The use of systems biology and immunological big data to guide vaccine development Blohmke, Christoph J. O’Connor, Daniel Pollard, Andrew J. Genome Med Comment High-throughput technologies applied to the analysis of vaccine responses are likely to reveal the mechanisms responsible for vaccine-induced protection, aid understanding of vaccine safety and help accelerate vaccine development and clinical trials. BioMed Central 2015-11-10 /pmc/articles/PMC4641354/ /pubmed/26555212 http://dx.doi.org/10.1186/s13073-015-0236-1 Text en © Blohmke et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Comment Blohmke, Christoph J. O’Connor, Daniel Pollard, Andrew J. The use of systems biology and immunological big data to guide vaccine development |
title | The use of systems biology and immunological big data to guide vaccine development |
title_full | The use of systems biology and immunological big data to guide vaccine development |
title_fullStr | The use of systems biology and immunological big data to guide vaccine development |
title_full_unstemmed | The use of systems biology and immunological big data to guide vaccine development |
title_short | The use of systems biology and immunological big data to guide vaccine development |
title_sort | use of systems biology and immunological big data to guide vaccine development |
topic | Comment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4641354/ https://www.ncbi.nlm.nih.gov/pubmed/26555212 http://dx.doi.org/10.1186/s13073-015-0236-1 |
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