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. Author manuscript; available in PMC: 2022 Jan 1.
Published in final edited form as: J Allergy Clin Immunol Pract. 2020 Aug 7;9(1):119–129. doi: 10.1016/j.jaip.2020.07.044

Figure 1:

Figure 1:

The integration of data generated via high-throughput omic technologies that describe different layers of biological complexity will enable the identification of the next generation of biomarkers, therapeutic targets, and molecular endpoints for clinical trials in food allergy. To that aim, tools from systems biology, such as network modelling, will be invaluable to finding solutions for the challenges posed by the integration of heterogeneous biological data. GC, gas chromatography; LC, liquid chromatography; MS, mass spectrometry; PBMC, peripheral blood mononuclear cell; SNP, single nucleotide polymorphism; WES, whole exome sequencing; WGS, whole genome sequencing.