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. 2022 Mar 22;13:854752. doi: 10.3389/fgene.2022.854752

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Copyright © 2022 Vahabi and Michailidis.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Different layers of multi-Omics data (genome, transcriptome, proteome, metabolome), the interactions between them (black dashed-arrow), types of the Omics features in each layer, and different approaches to analyze Omics data in different layers (SNP: Single nucleotide polymorphism, SNV: Single nucleotide variation, CNV: Copy number variation, CAN: Copy number alternation, CGIs: CpG islands, Indels: Insertion and deletion, GWAS: Genome-wide association study, MWAS: Methylation-wide association study, RNA: Ribonucleic acid, mRNA: Messenger RNA, rRNA: Ribosomal RNA, tRNA: Transfer RNA, tmRNA: Transfer-messenger RNA, miRNA: Micro RNA, lncRNA: Long-noncoding RNA, snRNA: Small nuclear RNA, siRNA: Small interfering RNA, GSE: Gene-set enrichment).