- 340 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Computational Modeling of Gene Regulatory Networks — A Primer
About this book
This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are provided for use in both classroom exercises as well as self-guided exploration and learning. As such, the book is ideal for self-learning and also as the basis of a semester-long course for undergraduate and graduate students in molecular biology, bioengineering, genome sciences, or systems biology.
Contents:
- Introduction
- What Is a System, and Why Should We Care?
- What Models Can and Cannot Predict
- Why Make Computational Models of Gene Regulatory Networks?
- Graphical Representations of Gene Regulatory Networks
- Implicit Modeling via Interaction Network Maps
- The Biochemical Basis of Gene Regulation
- A Single-Cell Model of Transcriptional Regulation
- Simplified Models: Mass-Action Kinetics
- Simplified Models: Boolean and Multi-valued Logic
- Simplified Models: Bayesian Networks
- The Relationship between Logic and Bayesian Networks
- Network Inference in Practice
- Searching DNA Sequences for Transcription Factor Binding Sites
- Model Selection Theory
- Simplified Models — GRN State Signatures in Data
- System Dynamics
- Robustness Analysis
- GRN Modules and Building Blocks
- Notes on Data Processing for GRN Modeling
- Applications of Computational GRN Modeling
- Quo Vadis
Readership: Undergraduate- and graduate-level experimental biology students and researchers and practicing biologists; computational biology students and researchers; students and researchers in bioengineering, genome sciences, and related disciplines.
Frequently asked questions
Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Computational Modeling of Gene Regulatory Networks — A Primer by Hamid Bolouri in PDF and/or ePUB format, as well as other popular books in Medicine & Genetics in Medicine. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Dedication Page
- Contents
- 1: Introduction
- 2: What is a System, and Why Should We Care?
- 3: What Models can and cannot Predict
- 4: Why Make Computational Models of Gene Regulatory Networks?
- 5: Graphical Representations of Gene Regulatory Networks
- 6: Implicit Modeling via Interaction Network Maps
- 7: The Biochemical Basis of Gene Regulation
- 8: A Single-Cell Model of Transcriptional Regulation
- 9: Simplified Models: Mass-Action Kinetics
- 10: Simplified Models: Boolean and Multi-valued Logic
- 11: Simplified Models: Bayesian Networks
- 12: The Relationship between Logic and Bayesian Networks
- 13: Network Inference in Practice
- 14: Searching DNA Sequences for Transcription Factor Binding Sites
- 15: Model Selection Theory
- 16: Simplified Models – GRN State Signatures in Data
- 17: System Dynamics
- 18: Robustness Analysis
- 19: GRN Modules and Building Blocks
- 20: Notes on Data Processing for GRN Modeling
- 21: Applications of Computational GRN Modeling
- 22: Quo Vadis
- Index