Abstract
The human population is continuously increasing, and food production has to keep pace ensuring food and nutritional security. Genetics and biotechnology fields have played a significant role in improving food production by exploiting the variation existent in the agricultural and livestock population. Traditional breeding approaches have the inherent limitation of increasing generation intervals and correspondingly lesser genetic gains. The penetration of the latest data-based technologies and access to the latest bioinformatics and statistical tools have truly revolutionized biological processes via the analysis of nucleic acid molecules like DNA, RNA, and protein. Multiple omics-based technologies have deeply penetrated the current scientific arena. These include genomics, transcriptomics, proteomics, and metabolomics. An amalgamation of biology, computational science, bioinformatics, and other related fields is desired to gain maximum insights into biological mechanisms with increased certainty. Systems biology provides one such avenue that involves the application of mathematical and computational modeling to solve biological problems and understand biological processes through an interdisciplinary approach. The field of systems biology finds its applications in various aspects of modern science varying from deducing genetic diversity parameters to elucidating the potential association of genetic variants with traits of economic interest or pathophysiological states including diseases. The present chapter aims to introduce the concepts of bioinformatics, and systems biology and then discuss the details of various Omics-based technologies in detail.
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Kumar, A., Ahmad, S.F. (2023). Bioinformatics: Unveiling the Systems Biology. In: Mukhopadhyay, C.S., Choudhary, R.K., Panwar, H., Malik, Y.S. (eds) Biotechnological Interventions Augmenting Livestock Health and Production. Livestock Diseases and Management. Springer, Singapore. https://doi.org/10.1007/978-981-99-2209-3_16
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