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Computational Cell Biology

SKU: 9798181282681

Original price was: ₹1,095.00.Current price is: ₹986.00.

Discover the fascinating world of cell biology through cutting-edge computational modeling with “Computational Cell Biology.” This essential textbook from The Bookish Owl offers a clear introduction to dynamic modeling, focusing on realistic molecular mechanisms. Perfect for students in cell biology, neuroscience, applied mathematics, theoretical biology, and engineering, this book bridges the gap between biological complexity and computational solutions. Explore the challenges and intricacies of dynamical cell biology with a rigorous, yet accessible, approach. Enhance your understanding and analytical skills with this foundational text for researchers and academics. Order your copy of “Computational Cell Biology” today and delve into the future of biological inquiry.

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Description

Computational Cell Biology stands as a landmark textbook that bridges the gap between cellular biology and mathematical modeling. This comprehensive 488-page Springer publication introduces students and researchers to the quantitative approaches essential for understanding cellular processes through computational methods. Perfect for advanced undergraduates, graduate students in bioinformatics, systems biology, and computational biology programs across Indian universities, this book covers fundamental topics including differential equations in biological systems, stochastic modeling, signal transduction networks, and gene regulatory mechanisms. What sets this text apart is its practical approach—each chapter balances rigorous mathematical theory with biological applications, making complex computational techniques accessible without oversimplifying the science. Whether you’re a life sciences student venturing into quantitative biology or a computational scientist exploring biological applications, this textbook provides the essential foundation. With clear explanations, worked examples, and a logical progression from basic principles to advanced topics, it has become a standard reference in computational biology courses worldwide. An invaluable resource for India’s growing bioinformatics and computational biology community.

  • ISBN-10: 818128268X
  • ISBN-13: 978-8181282682
  • Publisher: SPRINGER
  • Publication date: 1 January 2005
  • Language: English
  • Dimensions: 20.3 x 25.4 x 4.7 cm
  • Print length: 488 pages

Frequently Asked Questions

What is Computational Cell Biology book about?

Computational Cell Biology is an interdisciplinary textbook that teaches mathematical and computational methods for modeling cellular processes. It covers differential equations, stochastic modeling, signal transduction networks, and gene regulation, making it ideal for students in bioinformatics, systems biology, and computational biology programs.

Is Computational Cell Biology suitable for beginners in bioinformatics?

This book is best suited for advanced undergraduates and graduate students with some background in both biology and mathematics. While it explains concepts clearly, readers should have basic knowledge of calculus and cellular biology to fully benefit from the material.

Where can I buy Computational Cell Biology in India?

You can buy Computational Cell Biology online at The Bookish Owl for ₹930.75 with fast delivery across India. This is the Springer India edition, available in stock and ready to ship.

Who are the authors of Computational Cell Biology Springer edition?

Computational Cell Biology is edited by Christopher P. Fall, Eric S. Marland, John M. Wagner, and John J. Tyson, all respected researchers in computational and systems biology. The book represents collaborative expertise from multiple contributors in the field.

Is this book useful for MSc Bioinformatics students in India?

Yes, this is an excellent textbook for MSc Bioinformatics, Computational Biology, and Systems Biology students in Indian universities. It covers essential topics in quantitative biology and is frequently used as a reference text in advanced computational biology courses.