A First Course in Systems Biology 2nd Edition

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  Resource Type: Test bank

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“A First Course in Systems Biology” is a comprehensive introduction to the field of systems biology designed for advanced undergraduate and graduate students. The second edition of the book focuses on the development of computational models and their applications in various biological systems. The content covers fundamental modeling concepts, molecular inventories in biological systems, case studies in systems biology, and advancements in synthetic biology.

New topics introduced in this edition include default modules for model design, chaos and limit cycles, parameter estimation using Excel, gene regulation modeling, Michaelis-Menten rate law derivation, types of inhibition, differentiation modeling, adaptation mechanisms to persistent signals, PBPK models, nonlinear nullclines, and fundamental modes.

The book presents a blend of tutorial text, references to primary literature, small-scale exercises for practical learning, and large-scale open-ended questions for deeper understanding and reflection.

  • ISBN-10: 0815345682
  • ISBN-13: 978-0815345688

FAQs

1. Who is the target audience for “A First Course in Systems Biology 2nd Edition”?

The book is primarily aimed at advanced undergraduate and graduate students interested in systems biology and computational modeling of biological systems.

2. What are some of the new topics introduced in the second edition?

Some of the new topics covered in this edition include chaos and limit cycles, parameter estimation in Excel, differentiation modeling, adaptation mechanisms, and nonlinear nullclines.

3. What makes this book unique compared to other textbooks in the field?

This book stands out due to its emphasis on hands-on experience with small-scale exercises, references to primary literature, and open-ended questions that encourage deeper reflection.

Conclusion

“A First Course in Systems Biology 2nd Edition” serves as a valuable resource for students delving into the intricacies of systems biology and computational modeling in biological systems. With a comprehensive coverage of foundational concepts, advanced topics, and practical exercises, the book equips readers with the necessary tools to navigate this evolving field with confidence and insight.

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