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A Cell Biologist s Guide to Modeling and Bioinformatics 1st Edition by Raquell M Holmes ISBN 047013934X 9780470139349

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A Cell Biologist s Guide to Modeling and Bioinformatics 1st Edition Raquell M. Holmes Digital Instant Download

Author(s): Raquell M. Holmes
ISBN(s): 9780470139349, 047013934X
Edition: 1
File Details: PDF, 8.63 MB
Year: 2008
Language: english
SKU: EB-38403922 Category: Tag:

A Cell Biologist s Guide to Modeling and Bioinformatics 1st Edition by Raquell M Holmes – Ebook PDF Instant Download/Delivery: 047013934X, 9780470139349
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ISBN 10: 047013934X 
ISBN 13: 9780470139349
Author: Raquell M Holmes

A step-by-step guide to using computational tools to solve problems in cell biology

Combining expert discussion with examples that can be reproduced by the reader, this text introduces an array of informatics tools that are available for analyzing biological data and modeling cellular processes. You learn to fully leverage public databases and create your own computational models. All that you need is a working knowledge of algebra and cellular biology; the author provides all the other tools you need to understand the necessary statistical and mathematical methods.

Coverage is divided into two main categories:

Molecular sequence database chapters are dedicated to gaining an understanding of tools and strategies-including queries, alignment methods, and statistical significance measures-needed to improve searches for sequence similarity, protein families, and putative functional domains. Discussions of sequence alignments and biological database searching focus on publicly available resources used for background research and the characterization of novel gene products.

Modeling chapters take you through all the steps involved in creating a computational model for such basic research areas as cell cycle, calcium dynamics, and glycolysis. Each chapter introduces a new simulation tooland is based on published research. The combination creates a rich context for ongoing skill and knowledge development in modeling biological research systems.

Students and professional cell biologists can develop the basic skills needed to learn computational cell biology. This text, with its step-by-step instruction, enables you to test and develop your new bioinformatics and modeling skills. References are provided to help you take advantage of more advanced techniques, technologies, and training.

A Cell Biologist s Guide to Modeling and Bioinformatics 1st Table of contents:

1. Introduction to Modeling in Cell Biology
1.1 What is Modeling?
1.2 Why Model Biological Systems?
1.3 Types of Models: Deterministic, Stochastic, and Agent-Based
1.4 Overview of Computational Tools

2. Basic Concepts in Bioinformatics
2.1 DNA, RNA, and Protein Sequences
2.2 Databases and Data Resources
2.3 Sequence Alignment and Similarity
2.4 Phylogenetics and Evolutionary Models

3. Mathematical Foundations
3.1 Algebra and Calculus Essentials
3.2 Differential Equations in Biology
3.3 Probability and Statistics
3.4 Graph Theory and Networks

4. Modeling Biochemical Networks
4.1 Enzyme Kinetics
4.2 Gene Regulatory Networks
4.3 Signal Transduction Pathways
4.4 Feedback and Control Mechanisms

5. Systems Biology and Network Analysis
5.1 Network Topology and Motifs
5.2 Modeling Metabolic Pathways
5.3 Flux Balance Analysis
5.4 Integration of Omics Data

6. Bioinformatics Tools for Cell Biologists
6.1 Sequence Analysis Software
6.2 Structural Bioinformatics
6.3 Next-Generation Sequencing Data Analysis
6.4 Data Visualization Techniques

7. Case Studies in Modeling and Bioinformatics
7.1 Modeling Cell Cycle Control
7.2 Signal Transduction in Cancer
7.3 Immune System Modeling
7.4 Synthetic Biology Applications

8. Practical Aspects of Modeling
8.1 Building a Model: Step-by-Step
8.2 Parameter Estimation and Sensitivity Analysis
8.3 Model Validation and Verification
8.4 Best Practices and Common Pitfalls

9. Future Directions and Emerging Technologies
9.1 Machine Learning and AI in Bioinformatics
9.2 Single-Cell Data Analysis
9.3 Integrative Modeling Approaches
9.4 Open Challenges in Systems Biology

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Tags: Raquell M Holmes, Biologist, Bioinformatics