omics

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o·mics

 (ō′mĭks, ŏm′ĭks)
n.
1. (used with a sing. or pl. verb) Analysis of large amounts of data representing an entire set of some kind, especially the entire set of molecules, such as proteins, lipids, or metabolites, in a cell, organ, or organism.
2. (used with a sing. verb) Any of the fields employing this approach, as proteomics or metabolomics.

[From -omics, as in genomics, proteomics, etc.]
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.
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References in periodicals archive
"Omics" pertains to disciplines in the field of biology that end in "-omics" such as genomics, proteomics, metabolomics, and the like.
The molecular data were gleaned from various "-omics" techniques, including:
Over the last decade, high-throughput experiments studying -omics (e.g., genetics, epigenetics, or transcriptomics) have been used to generate informative data researchers can use to test different data-driven hypotheses.
Toxicology and genetic toxicology in the new era of "toxicogenomics": impact of "-omics" technologies.
In the midst of a growing shift toward translational studies in today's biomedical research scene, yet another "-omics" science has come to the fore.
Contributors from a wide range of biomedical sciences explore applications of the -omics approach to the gray zone between food and medicine.
Among the technical needs outlined were improvements in the temporal, spatial, and quantitative resolving power of "-omics" techniques.
Technological advances--for example, "-omics" technologies (genomics, proteomics, metabonomics, etc.); molecular, cellular, and whole animal imaging methodologies; miniaturized tools/technologies (i.e., at the micro- and nanolevel); and improved cyber-infrastructure and bioinformatics tools to gather, assimilate, and interrogate large diverse data sets--have the capacity to stimulate interdisciplinary research.
In large measure, proteomics has emerged in parallel fashion with the other "-omics" fields such as transcriptomics and metabonomics.
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