The major human diseases like as diabetes, obesity, high blood pressure, cardiovascular disease and cancer are involved in failure of human metabolic systems. Therefore, metabolism is an important biological process, but these are complex and highly interconnected each other’s. The challenge becomes how to integrate this data to maximize the amount of useful biological information that can be extracted. A serious problem of pathway-based analysis is that the computational time increases exponentially with an increase in network sizes, which makes the computation of the all pathway expensive and impracticable for large- or genome-scale networks. To address such aforementioned problem, we developed a pathway-based analysis complementary elementary mode, exposed a new window for a large-scale metabolic network, greatly reducing the computational time and memory cost. This book greatly attracts a broad range of scientists who are interested in systems biotechnology, synthetic biology, and bioinformatics, because it provides a method critically useful for analysis of a large-scale metabolic network map.
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He completed PhD from Japan in 2015. He is working as a postdoctoral researcher in, Japan. From May, 2016 he will join as a postdoctoral researcher at the University of Idaho, Moscow, U.S.A. He has published more than 30 articles including conferences. His research interests in Computational Biology and Bioinformatics.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The major human diseases like as diabetes, obesity, high blood pressure, cardiovascular disease and cancer are involved in failure of human metabolic systems. Therefore, metabolism is an important biological process, but these are complex and highly interconnected each other's. The challenge becomes how to integrate this data to maximize the amount of useful biological information that can be extracted. A serious problem of pathway-based analysis is that the computational time increases exponentially with an increase in network sizes, which makes the computation of the all pathway expensive and impracticable for large- or genome-scale networks. To address such aforementioned problem, we developed a pathway-based analysis complementary elementary mode, exposed a new window for a large-scale metabolic network, greatly reducing the computational time and memory cost. This book greatly attracts a broad range of scientists who are interested in systems biotechnology, synthetic biology, and bioinformatics, because it provides a method critically useful for analysis of a large-scale metabolic network map. 124 pp. Englisch. Bestandsnummer des Verkäufers 9783659859342
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Badsha Md. BahadurHe completed PhD from Japan in 2015. He is working as a postdoctoral researcher in, Japan. From May, 2016 he will join as a postdoctoral researcher at the University of Idaho, Moscow, U.S.A. He has published more th. Bestandsnummer des Verkäufers 159146504
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Paperback. Zustand: Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock. Bestandsnummer des Verkäufers 3659859346
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The major human diseases like as diabetes, obesity, high blood pressure, cardiovascular disease and cancer are involved in failure of human metabolic systems. Therefore, metabolism is an important biological process, but these are complex and highly interconnected each other's. The challenge becomes how to integrate this data to maximize the amount of useful biological information that can be extracted. A serious problem of pathway-based analysis is that the computational time increases exponentially with an increase in network sizes, which makes the computation of the all pathway expensive and impracticable for large- or genome-scale networks. To address such aforementioned problem, we developed a pathway-based analysis complementary elementary mode, exposed a new window for a large-scale metabolic network, greatly reducing the computational time and memory cost. This book greatly attracts a broad range of scientists who are interested in systems biotechnology, synthetic biology, and bioinformatics, because it provides a method critically useful for analysis of a large-scale metabolic network map.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Bestandsnummer des Verkäufers 9783659859342
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The major human diseases like as diabetes, obesity, high blood pressure, cardiovascular disease and cancer are involved in failure of human metabolic systems. Therefore, metabolism is an important biological process, but these are complex and highly interconnected each other's. The challenge becomes how to integrate this data to maximize the amount of useful biological information that can be extracted. A serious problem of pathway-based analysis is that the computational time increases exponentially with an increase in network sizes, which makes the computation of the all pathway expensive and impracticable for large- or genome-scale networks. To address such aforementioned problem, we developed a pathway-based analysis complementary elementary mode, exposed a new window for a large-scale metabolic network, greatly reducing the computational time and memory cost. This book greatly attracts a broad range of scientists who are interested in systems biotechnology, synthetic biology, and bioinformatics, because it provides a method critically useful for analysis of a large-scale metabolic network map. Bestandsnummer des Verkäufers 9783659859342
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Taschenbuch. Zustand: Neu. Development of Pathway-based Method for Analysis of Metabolic Network | Integration of Heterogeneous Biological Data into a Complex Metabolic Network | Md. Bahadur Badsha | Taschenbuch | 124 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659859342 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 103866521
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