-omics

-omics

This page is a placeholder, or under current development; it is here principally to establish the logical framework of the site. The material on this page is correct, but incomplete.

Cross-sectional analysis of the various hierarchical levels in which the expression of biological information is organized in the cell.

 

Introductory reading

The Encode project is a current paradigm for the integration of multiple -omics datasets for comprehensive annotation of the humane genome.

ENCODE Project Consortium (2012) An integrated encyclopedia of DNA elements in the human genome. Nature 489:57-74. (pmid: 22955616)

[ PubMed ] [ DOI ] Abstract The human genome encodes the blueprint of life, but the function of the vast majority of its nearly three billion bases is unknown. The Encyclopedia of DNA Elements (ENCODE) project has systematically mapped regions of transcription, transcription factor association, chromatin structure and histone modification. These data enabled us to assign biochemical functions for 80% of the genome, in particular outside of the well-studied protein-coding regions. Many discovered candidate regulatory elements are physically associated with one another and with expressed genes, providing new insights into the mechanisms of gene regulation. The newly identified elements also show a statistical correspondence to sequence variants linked to human disease, and can thereby guide interpretation of this variation. Overall, the project provides new insights into the organization and regulation of our genes and genome, and is an expansive resource of functional annotations for biomedical research.

 

Contents

See also: -omics.

• Genome, Epigenome, Variome
• Transcriptome, Exome
• Proteome, Regulome, Secretome, Kinome (cf. Kinases)
• Glycome
• Lipidome
• Metabolome, Reactome
• Phenome, Physiome

See also: List of omics topics in biology

   

Further reading and resources

Samuels & Rouleau (2011) The case for locus-specific databases. Nat Rev Genet 12:378-9. (pmid: 21540879)

[ PubMed ] [ DOI ] Abstract Locus-specific databases are the most useful repositories of the sequence information underlying medical genetic conditions and, for this reason, they need our continued support.