Computational Cell Biology
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Author | : Christopher P. Fall |
Publisher | : Springer Science & Business Media |
Total Pages | : 484 |
Release | : 2007-06-04 |
Genre | : Science |
ISBN | : 0387224599 |
This textbook provides an introduction to dynamic modeling in molecular cell biology, taking a computational and intuitive approach. Detailed illustrations, examples, and exercises are included throughout the text. Appendices containing mathematical and computational techniques are provided as a reference tool.
Author | : Volkhard Helms |
Publisher | : John Wiley & Sons |
Total Pages | : 458 |
Release | : 2019-04-29 |
Genre | : Medical |
ISBN | : 3527333584 |
Computational cell biology courses are increasingly obligatory for biology students around the world but of course also a must for mathematics and informatics students specializing in bioinformatics. This book, now in its second edition is geared towards both audiences. The author, Volkhard Helms, has, in addition to extensive teaching experience, a strong background in biology and informatics and knows exactly what the key points are in making the book accessible for students while still conveying in depth knowledge of the subject.About 50% of new content has been added for the new edition. Much more room is now given to statistical methods, and several new chapters address protein-DNA interactions, epigenetic modifications, and microRNAs.
Author | : Patrick Cahan |
Publisher | : Humana |
Total Pages | : 0 |
Release | : 2019-05-07 |
Genre | : Science |
ISBN | : 9781493992232 |
This volume details methods and protocols to further the study of stem cells within the computational stem cell biology (CSCB) field. Chapters are divided into four sections covering the theory and practice of modeling of stem cell behavior, analyzing single cell genome-scale measurements, reconstructing gene regulatory networks, and metabolomics. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Stem Cell Biology: Methods and Protocols will be an invaluable guide to researchers as they explore stem cells from the perspective of computational biology.
Author | : Fall |
Publisher | : |
Total Pages | : 488 |
Release | : 2005-01-01 |
Genre | : |
ISBN | : 9788181282682 |
Author | : Leslie M. Loew |
Publisher | : |
Total Pages | : |
Release | : 2008 |
Genre | : |
ISBN | : |
Author | : Louise von Stechow |
Publisher | : Humana Press |
Total Pages | : 436 |
Release | : 2018-08-08 |
Genre | : Science |
ISBN | : 9781493986170 |
This volume details computational techniques for analyses of a wide range of biological contexts, providing an overview of the most up-to-date techniques used in the field. Chapters guide the reader through available data resources and analysis methods and easy-to-follow protocols that allow the researcher to apply various computational tools to an array of different data types. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory and computational protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Cell Biology: Method and Protocols aims to ensure successful results in the further study of this vital field.
Author | : Uri Alon |
Publisher | : CRC Press |
Total Pages | : 324 |
Release | : 2006-07-07 |
Genre | : Mathematics |
ISBN | : 1584886420 |
Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.
Author | : Greg Conradi Smith |
Publisher | : Cambridge University Press |
Total Pages | : 395 |
Release | : 2019-03-14 |
Genre | : Mathematics |
ISBN | : 1107005361 |
What every neuroscientist should know about the mathematical modeling of excitable cells, presented at an introductory level.
Author | : Leslie M. Loew |
Publisher | : Academic Press |
Total Pages | : 0 |
Release | : 2013-04-26 |
Genre | : Science |
ISBN | : 9780080920207 |
Introduction to Computational Cell Biology
Author | : Raquell M. Holmes |
Publisher | : John Wiley & Sons |
Total Pages | : 224 |
Release | : 2008-02-13 |
Genre | : Science |
ISBN | : 9780470139349 |
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, A Cell Biologist's Guide to Modeling and Bioinformatics 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 unique 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.