Development of Pathway-based Method for Analysis of Metabolic Network | Integration of Heterogeneous Biological Data into a Complex Metabolic Network

Md. Bahadur Badsha

ISBN 10: 3659859346 / ISBN 13: 9783659859342

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

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.

Seller Inventory # 103866521

Bibliographic Details

• Title: Development of Pathway-based Method for Analysis of Metabolic Network | Integration of Heterogeneous Biological Data into a Complex Metabolic Network
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3659859346
• ISBN 13: 9783659859342
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 203 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

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.