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„The book should serve well as a resource for anyoneinterested in learning about computational systemsbiology.“ (The Quarterly Review of Biology, 1March 2012)
Groundbreaking, long-ranging research in this emergent fieldthat enables solutions to complex biological problems
Computational systems biology is an emerging discipline that isevolving quickly due to recent advances in biology such as genomesequencing, high-throughput technologies, and the recentdevelopment of sophisticated computational methodologies. Elementsof Computational Systems Biology is a comprehensive referencecovering the computational frameworks and techniques needed to helpresearch scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complexbiological problems. Written by leading experts in the field, thispractical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics likegenomics; and describes state-of-the-art software tools for systemsbiology.
* Offers a coordinated integrated systems view of defining andapplying computational and mathematical tools and methods tosolving problems in systems biology
* Chapters provide a multidisciplinary approach and range fromanalysis, modeling, prediction, reasoning, inference, andexploration of biological systems to the implications ofcomputational systems biology on drug design and medicine
* Helps reduce the gap between mathematics and biology bypresenting chapters on mathematical models of biologicalsystems
* Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computationalmethodologies for systems biology
Elements of Computational Systems Biology is intended foracademic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, andpharmaceutical science. It is also accessible to undergraduate andgraduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses.
Computational systems biology is an emerging discipline that isevolving quickly due to recent advances in biology such as genomesequencing, high-throughput technologies, and the recentdevelopment of sophisticated computational methodologies. Elementsof Computational Systems Biology is a comprehensive referencecovering the computational frameworks and techniques needed to helpresearch scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complexbiological problems. Written by leading experts in the field, thispractical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics likegenomics; and describes state-of-the-art software tools for systemsbiology.
* Offers a coordinated integrated systems view of defining andapplying computational and mathematical tools and methods tosolving problems in systems biology
* Chapters provide a multidisciplinary approach and range fromanalysis, modeling, prediction, reasoning, inference, andexploration of biological systems to the implications ofcomputational systems biology on drug design and medicine
* Helps reduce the gap between mathematics and biology bypresenting chapters on mathematical models of biologicalsystems
* Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computationalmethodologies for systems biology
Elements of Computational Systems Biology is intended foracademic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, andpharmaceutical science. It is also accessible to undergraduate andgraduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses.