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Inferring B cell specificity for vaccines using a Bayesian mixture model

Inferring B cell specificity for vaccines using a Bayesian mixture model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_330cbfb2f01b439db931a90e420aa156

Inferring B cell specificity for vaccines using a Bayesian mixture model

About this item

Full title

Inferring B cell specificity for vaccines using a Bayesian mixture model

Publisher

England: BioMed Central Ltd

Journal title

BMC genomics, 2020-02, Vol.21 (1), p.176-176, Article 176

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Vaccines have greatly reduced the burden of infectious disease, ranking in their impact on global health second only after clean water. Most vaccines confer protection by the production of antibodies with binding affinity for the antigen, which is the main effector function of B cells. This results in short term changes in the B cell receptor (BCR)...

Alternative Titles

Full title

Inferring B cell specificity for vaccines using a Bayesian mixture model

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_330cbfb2f01b439db931a90e420aa156

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_330cbfb2f01b439db931a90e420aa156

Other Identifiers

ISSN

1471-2164

E-ISSN

1471-2164

DOI

10.1186/s12864-020-6571-7

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