Omics data

The term “omics” refers to a number of areas of study in biology, all of which end in the suffix -omics, indicating totality of some kind.

Omics are high-throughput technologies for analysis of complete genetic or molecular profiles, e.g. entire genomes instead of single genes. This allows studying how complex interactions between genes and molecules influence the phenotype, e.g. the disease symptoms in a patient. With the development of high-throughput technologies, such as Next Generation Sequencing (NGS), the omics field is rapidly expanding and creating new perspectives for research and diagnosis.

Examples of different types of omics include:

  • Genomics: genomes of organisms
  • Proteomics: proteomes - entire sets of proteins produced by an organism
  • Transcriptomics: transcriptomes - the sets of all RNA molecules, including mRNA, rRNA, tRNA, and other non-coding RNAs
  • Pharmacogenomics: the effect of variations within the human genome on response to drugs
  • Phenomics: phenomes, deep phenotyping – comprehensive sets of phenotypic traits, e.g. disease symptoms

The RD-Connect Genome-Phenome Analysis Platform is currently focusing on genomics, and allows researchers to analyse and share NGS data with other researchers. In the future, the Platform will also allow multiomics – linking up different omics data of individual patients.