Definition, Betydelse & Anagram | Engelska ordet OMICS

Definition av OMICS

1. (vetenskaper) omik, samlingsnamn för genomics, proteomics och liknande vetenskaper

Exempel på hur man kan använda OMICS i en mening

• The term glycomics is derived from the chemical prefix for sweetness or a sugar, "glyco-", and was formed to follow the omics naming convention established by genomics (which deals with genes) and proteomics (which deals with proteins).
• The branches of science known informally as omics are various disciplines in biology whose names end in the suffix -omics, such as genomics, proteomics, metabolomics, metagenomics, phenomics and transcriptomics.
• Transcriptome data for Balantidium ctenopharyngodoni, from single-cell transcriptome sequencing, were published in 2017 and were the first omics data within the subclass Trichostomatia.
• KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.
• Recent advances are emerging from studying sub-organism level responses using environmental DNA and various omics approaches, such as metagenomics, metatranscriptomics, proteomics and proteogenomics, are rapidly advancing, at least for the microbial world.
• Omics based methods use omics technologies, such as chemoproteomics, reverse genetics and genomics, transcriptomics, and proteomics, to identify the potential targets of the compound of interest.
• Lipidome is a term coined in the context of omics in modern biology, within the field of lipidomics.
• The usage of complete ORFeomes reflects a new trend in biology that can be succinctly summarized as omics.
• Specific topics of interest involve protein (structure), (meta)genomics as well as the analysis of various other types of omics data (transcriptomics, proteomics, metabolomics, amongst others), and small (bio)molecules and their drug, protein or other molecular interaction partners.
• High-throughput biology serves as one facet of what has also been called "omics research" - the interface between large scale biology (genome, proteome, transcriptome), technology and researchers.
• In 2017, GRF has established a Cardiovasculomics Institute (CVI) to research on the omics of cardiovascular diseases as a sister institute of PGI.
• 2013 Integromics partners with PerkinElmer for the Exclusive Worldwide Distributorship of New Omics Office Genomics Software from Integromics.
• Pharmacometabolomics is thought to provide information that complements that gained from other omics, namely genomics, transcriptomics, and proteomics.
• On one hand, it is true that in the decades since he wrote Lives of a Cell, the development of omics, made possible by greatly increased throughput of sequencing and digital analytics of the resultant data, has greatly expanded humans' ability to learn more about microbes because their aggregated biochemical footprints and fingerprints, as it were, can now be analyzed and quantified (for example, genomics, microbiomics, metabolomics, metagenomics/ecogenomics).
• Moreover, the study of foodomics leads to other omics sub-disciplines, including nutrigenomics which is the integration of the study of nutrition, gene and omics.
• Related to Single-cell multiomics is the field of Spatial Omics which assays tissues through omics readouts that preserve the relative spatial orientation of the cells in the tissue.
• Snyder's research has focused on "omics", the study of genomes, transcriptomes, proteomes, and other "-omes".
• He is best known for the use of omics for applied studies of microbiology in engineered and natural wastewater treatment systems, including bioelectrochemistry, membrane bioreactors, and granular sludge.
• Invention of more advanced cellular deconvolution methods gives the opportunity to researchers to come back to old omics studies, reanalyze their datasets, and scrutinize their findings.
• Deterministic Barcoding in Tissue for Spatial Omics Sequencing (DBiT-seq) was developed at Yale University by Rong Fan and colleagues in 2020 to create a multi-omics approach for studying spatial gene expression heterogenicity within a tissue sample.

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