RT Journal Article
T1 Data integration for immunology
A1 Pineda Sanjuan, Silvia
A1 Bunis, Daniel G.
A1 Kosti, Idit
A1 Sirota, Marina
A2 Altman, Russ B.
AB 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.
PB Annual Reviews, Palo Alto, CA
SN 2574-3414
YR 2020
FD 2020
LK https://hdl.handle.net/20.500.14352/95941
UL https://hdl.handle.net/20.500.14352/95941
LA eng
NO Pineda, Silvia and Bunis, Daniel and Kosti, Idit and Sirota, Marina, Data Integration for Immunology (July 2020). Annual Review of Biomedical Data Science, Vol. 3, pp. 113-136.
NO Burroughs Wellcome Fund 
DS Docta Complutense
RD 7 abr 2025