A comparative study of multi-omics integration tools for cancer driver gene identification and tumour subtyping.

ABSTRACT: Oncogenesis and cancer can arise as a consequence of a wide range of genomic aberrations including mutations, copy number alterations, expression changes and epigenetic modifications encompassing multiple omics layers. Integrating genomic, transcriptomic, proteomic and epigenomic datasets via multi-omics analysis provides the opportunity to derive a deeper and holistic understanding of the development and progression of cancer. There are two primary approaches to integrating multi-omics data: multi-staged (focused on identifying genes driving cancer) and meta-dimensional (focused on establishing clinically relevant tumour or sample classifications). A number of ready-to-use bioinformatics tools are available to perform both multi-staged and meta-dimensional integration of multi-omics data.

SUBMITTER: Sathyanarayanan A 

PROVIDER: S-EPMC7711266 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature