“Integrated multi-omics analysis” has become an exciting pillar of bioinformatics in the last few years. Stacking data from multiple “omes” (genomes, epigenomes, transcriptomes, proteomes, metabolomes), this approach enables scientists to have a more complete picture of the biological systems and ...
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