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To study complex biological processes holistically, it is imperative to take an integrative approach that combines multi-omics data to highlight the interrelationships of the involved biomolecules and their functions. With the advent of high-throughput techniques and availability of multi-omics data generated from a large set of samples, several promising tools and methods have been developed for data integration and interpretation. In this review, we collected the tools and methods that adoptdoi:10.1177/1177932219899051 pmid:32076369 pmcid:PMC7003173 fatcat:dchnmbmzh5di7jcuc7ilxjsk3e