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Genomics technologies revolutionised biomedicine research, but the genome alone is not sufficient to capture biological complexity. Postgenomic methods, typically based on mass spectrometry, comprise the analysis of metabolites, lipids, and proteins and are an essential complement to genomics and transcriptomics. Multidimensional omics is becoming established to provide accurate and comprehensive state descriptions. This book covers the latest methodological developments for, and applications of integrative multi-omics in biomedical research.

target identification --- target validation --- label-free method for drugs --- anti-angiogenesis --- mechanism of action --- receptor tyrosine kinases --- curcumin --- natural products --- lipid --- lipidomics --- cardiac metaplasia --- Barrett’s esophagus --- esophageal adenocarcinoma --- microbiota --- DNA sensing --- IFI16 --- cGAS --- innate immunity --- protein interactions --- virus–host interactions --- post-translational modifications --- mass spectrometry --- proteomics --- transcriptomics --- multi-omics --- multi-omics analysis --- study design --- bioinformatics --- machine learning --- analysis flow --- metabolomics --- planned myocardial infarction (PMI) --- myocardial infarction (MI) --- exercise --- heart --- cheminformatics --- batch variations --- eicosanoids --- fetal calf serum --- peroxisomes --- host-pathogen interactions --- secretome --- macrophages --- acute myeloid leukemia --- HL-60 cell line --- ATRA --- induced differentiation --- transcriptome --- proteome --- transcription factors --- key molecules --- regulatory pathway modelling --- SRM --- endometriosis --- inflammation --- n/a --- Barrett's esophagus --- virus-host interactions