Computational Modeling Of Gene Regulatory Networks — A Primer

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    Computational Modeling of Gene Regulatory Networks — A Primer
    By: Hamid Bolouri
    Publisher:
    ICP
    Print ISBN: 9781848162211, 1848162219
    eText ISBN: 9781848168183, 1848168187
    Pages: 340
    Format: EPUB
    Available from $ 36.00 USD
    SKU 9781848168183
    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

    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.
     

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