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Data Integration for Immunology

Authors
  • Pineda, Silvia
  • Bunis, Daniel G.
  • Kosti, Idit
  • Sirota, Marina
Type
Published Article
Publisher
Annual Reviews
Publication Date
Jul 20, 2020
Volume
3
Pages
113–136
Identifiers
DOI: 10.1146/annurev-biodatasci-012420-122454
Source
Annual Reviews
Keywords
License
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Abstract

Over the last several years, next-generation sequencing and its recent push toward single-cell resolution have transformed the landscape of immunology research by revealing novel complexities about all components of the immune system. With the vast amounts of diverse data currently being generated, and with the methods of analyzing and combining diverse data improving as well, integrative systems approaches are becoming more powerful. Previous integrative approaches have combined multiple data types and revealed ways that the immune system, both as a whole and as individual parts, is affected by genetics, the microbiome, and other factors. In this review, we explore the data types that are available for studying immunology with an integrative systems approach, as well as the current strategies and challenges for conducting such analyses.

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