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Cutting‐edge single‐cell genomics and modelling in immunology
Author(s) -
Proserpio Valentina,
Lönnberg Tapio
Publication year - 2016
Publication title -
immunology and cell biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.999
H-Index - 104
eISSN - 1440-1711
pISSN - 0818-9641
DOI - 10.1038/icb.2015.117
Subject(s) - genomics , feature (linguistics) , computational biology , focus (optics) , computer science , systems biology , biology , data science , immunology , genetics , genome , gene , linguistics , philosophy , physics , optics
The March 2016 issue contains a Special Feature on Cutting‐edge single‐cell genomics and modelling in immunology. The recent advent of single‐cell genomics has offered unprecedented possibilities for hypothesis‐independent characterization of cellular heterogeneity and regulatory states. At the same time, the vast datasets produced by these techniques have highlighted the need for new bioinformatics tools to utilize the contained information to the fullest. In this Special Feature, both the experimental methods for producing such data as well as selected modelling approaches are reviewed, with focus on the applications on the study of the immune system. Immunology and Cell Biology thanks the coordinators of this Special Feature ‐ Tapio Lönnberg and Valentina Proserpio ‐ for their planning and input.