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Genomics, Proteomics, and Metabolomics

Genomics, Proteomics, and Metabolomics

Pradip Chandra Deka
Copyright: © 2024 |Pages: 52
ISBN13: 9798369330265|EISBN13: 9798369330272
DOI: 10.4018/979-8-3693-3026-5.ch037
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MLA

Deka, Pradip Chandra. "Genomics, Proteomics, and Metabolomics." Research Anthology on Bioinformatics, Genomics, and Computational Biology, edited by Information Resources Management Association, IGI Global, 2024, pp. 881-932. https://doi.org/10.4018/979-8-3693-3026-5.ch037

APA

Deka, P. C. (2024). Genomics, Proteomics, and Metabolomics. In I. Management Association (Ed.), Research Anthology on Bioinformatics, Genomics, and Computational Biology (pp. 881-932). IGI Global. https://doi.org/10.4018/979-8-3693-3026-5.ch037

Chicago

Deka, Pradip Chandra. "Genomics, Proteomics, and Metabolomics." In Research Anthology on Bioinformatics, Genomics, and Computational Biology, edited by Information Resources Management Association, 881-932. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-3026-5.ch037

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Abstract

Genomics could be viewed as the study of the randomness of DNA sequences. It may be possible to predict the structure of a gene product from the nucleotide sequences and thereby predict its function. The terms “structural genomics” and “functional genomics” were coined to denote the assignment of structure and function to a gene product, respectively. Proteomics focuses on the products of gene, which are basically proteins. Proteins are responsible for the development of phenotype, and proteomics is the bridge between genotype and phenotype. The transcribed mRNAs and their abundance are called transcriptome. Proteomics also deals with the interaction between proteins called intractomics. Metabolomics is concerned with identification, abundance, and localization of all the molecules excluding lipids and polysaccharides in the cell. In this chapter, the basic concepts and analysis of the genomic, proteomic, and metabolomics data for their practical utilization are discussed.

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