The model organism as a system: integrating 'omics' data sets.
Various technologies can be used to produce genome-scale, or 'omics', data sets that provide systems-level measurements for virtually all types of cellular components in a model organism. These data yield unprecedented views of the cellular inner workings. However, this abundance of information also presents many hurdles, the main one being the extraction of discernable biological meaning from multiple omics data sets. Nevertheless, researchers are rising to the challenge by using omics data integration to address fundamental biological questions that would increase our understanding of systems as a whole.
Bioinformatics Program, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093-0412, USA. ajoyce@ucsd.edu
Andrew R
AR
Joyce
Bernhard Ø
BØ
Palsson
D000818:Animals; D002468:Cell Physiological Phenomena; D004247:DNA / Q000235:genetics / Q000378:metabolism; D016678:Genome; D023281:Genomics; D008954:Models, Biological; D016571:Neural Networks, Computer; D011506:Proteins / Q000235:genetics / Q000378:metabolism; D020543:Proteome; D014158:Transcription, Genetic
D011506:Proteins; D020543:Proteome; D004247:DNA