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Integrative Omics
Hoofdkenmerken
Auteur: Manish Kumar Gupta, Pramod Katara, Sukanta Mondal, Ram Lakhan Singh
Titel: Integrative Omics
Uitgever: Elsevier S & T
ISBN: 9780443160936
ISBN boekversie: 9780443160929
Editie: 1
Prijs: € 155.87
Verschijningsdatum: 03-05-2024
Inhoudelijke kenmerken
Categorie: Molecular biology
Taal: English
Imprint: Academic Press
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

\u003cp\u003e\u003ci\u003eIntegrative Omics: Concepts, Methodology and Applications\u003c/i\u003e provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference includes a range of chapters in a systemic ‘step by step’ manner, which begins with the basic concepts from Omic to Multi Integrative Omics approaches, followed by their full range of approaches, applications, emerging trends, and future trends.\u003c/p\u003e \u003cp\u003eAll key areas of Omics are covered including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics as well as omics technology policy and society research.\u003c/p\u003e \u003cp\u003e\u003ci\u003eIntegrative Omics: Concepts, Methodology and Applications\u003c/i\u003e highlights the recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science.  The book bridges the gap between biological sciences, physical sciences, computer science, statistics, data science, information technology and mathematics by presenting content specifically dedicated to mathematical models of biological systems.\u003c/p\u003e\u003cul\u003e\u003cli\u003eProvides a holistic, integrated view of a defining and applying network approach, integrative tools, and methods to solve problems for rationalization of genotype to phenotype relationships\u003c/li\u003e\u003cli\u003eOffers an interdisciplinary approach to Databases, data analytics techniques, biological tools, network construction, analysis, modeling, prediction and simulation of biological systems leading to ‘translational research’, i.e., drug discovery, drug target prediction, and precision medicine\u003c/li\u003e\u003cli\u003eCovers worldwide methods, concepts, databases, and tools used in the construction of integrated pathways\u003c/li\u003e\u003c/ul\u003e
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