About the book
Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems
Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. Written by leading experts in the field, this practical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics like genomics; and describes state-of-the-art software tools for systems biology.
- Offers a coordinated integrated systems view of defining and applying computational and mathematical tools and methods to solving problems in systems biology
- Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the implications of computational systems biology on drug design and medicine
- Helps reduce the gap between mathematics and biology by presenting chapters on mathematical models of biological systems
- Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computational methodologies for systems biology
Elements of Computational Systems Biology is intended for academic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, and pharmaceutical science. It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses.
Editions of Elements of Computational Systems Biology
- Hardcover
- ISBN 9780470180938
- EBook
- ISBN 9780470556757
- EBook
- ISBN 9780470556740
Read an Excerpt
Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems
Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. Written by leading experts in the field, this practical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics like genomics; and describes state-of-the-art software tools for systems biology.
- Offers a coordinated integrated systems view of defining and applying computational and mathematical tools and methods to solving problems in systems biology
- Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the implications of computational systems biology on drug design and medicine
- Helps reduce the gap between mathematics and biology by presenting chapters on mathematical models of biological systems
- Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computational methodologies for systems biology
Elements of Computational Systems Biology is intended for academic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, and pharmaceutical science. It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses.
Frequently Asked Questions
What is Elements of Computational Systems Biology about?
Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems
Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. Written by leading experts in the field, this practical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics like genomics; and describes state-of-the-art software tools for systems biology.
- Offers a coordinated integrated systems view of defining and applying computational and mathematical tools and methods to solving problems in systems biology
- Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the implications of computational systems biology on drug design and medicine
- Helps reduce the gap between mathematics and biology by presenting chapters on mathematical models of biological systems
- Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computational methodologies for systems biology
Elements of Computational Systems Biology is intended for academic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, and pharmaceutical science. It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses.
What core themes, tropes, or subjects are explored in Elements of Computational Systems Biology?
Computing and Information Technology > Databases / Data management > Database design and theory
Where can I read a sample of Elements of Computational Systems Biology?
You can read an official preview of the few pages here https://www.book2look.com/book/9780470180938
Is Elements of Computational Systems Biology part of a series, and can it be read as a standalone?
Yes it is a part of series Wiley Series in Bioinformatics
Who is/are the Author/s of the book Elements of Computational Systems Biology?
John Wiley & Sons
Who is the Publisher of the book Elements of Computational Systems Biology?
Wiley
What are the ISBN numbers for the physical and digital editions?
Elements of Computational Systems Biology is available as hardcover(ISBN 9780470180938) and ebook(ISBN 9780470556757) and ebook(ISBN 9780470556740)
Where can I buy Elements of Computational Systems Biology online or support local independent bookshops?
You can buy Elements of Computational Systems Biology from below
Where can I buy Elements of Computational Systems Biology?