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Author: Christopher P. Fall
Publisher: Springer Science & Business Media
Published: 2007-06-04
Total Pages: 484
ISBN-13: 0387224599
DOWNLOAD EBOOKThis 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: Christopher P. Fall
Publisher: Springer Science & Business Media
Published: 2005-02-15
Total Pages: 484
ISBN-13: 0387953698
DOWNLOAD EBOOKThis 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: Christopher P. Fall
Publisher:
Published: 2014-01-15
Total Pages: 492
ISBN-13: 9781475777062
DOWNLOAD EBOOKAuthor: Volkhard Helms
Publisher: John Wiley & Sons
Published: 2019-04-29
Total Pages: 458
ISBN-13: 3527333584
DOWNLOAD EBOOKComputational 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:
Publisher: Academic Press
Published: 2012-05-31
Total Pages: 427
ISBN-13: 0123884217
DOWNLOAD EBOOKComputational methods are playing an ever increasing role in cell biology. This volume of Methods in Cell Biology focuses on Computational Methods in Cell Biology and consists of two parts: (1) data extraction and analysis to distill models and mechanisms, and (2) developing and simulating models to make predictions and testable hypotheses. - Focuses on computational methods in cell biology - Split into 2 parts--data extraction and analysis to distill models and mechanisms, and developing and simulating models to make predictions and testable hypotheses - Emphasizes the intimate and necessary connection with interpreting experimental data and proposing the next hypothesis and experiment
Author: Patrick Cahan
Publisher: Humana
Published: 2019-05-07
Total Pages: 0
ISBN-13: 9781493992232
DOWNLOAD EBOOKThis 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: Greg Conradi Smith
Publisher: Cambridge University Press
Published: 2019-03-14
Total Pages: 395
ISBN-13: 1107005361
DOWNLOAD EBOOKWhat every neuroscientist should know about the mathematical modeling of excitable cells, presented at an introductory level.
Author: Tao Jiang
Publisher: MIT Press
Published: 2002
Total Pages: 570
ISBN-13: 9780262100922
DOWNLOAD EBOOKA survey of current topics in computational molecular biology. Computational molecular biology, or bioinformatics, draws on the disciplines of biology, mathematics, statistics, physics, chemistry, computer science, and engineering. It provides the computational support for functional genomics, which links the behavior of cells, organisms, and populations to the information encoded in the genomes, as well as for structural genomics. At the heart of all large-scale and high-throughput biotechnologies, it has a growing impact on health and medicine. This survey of computational molecular biology covers traditional topics such as protein structure modeling and sequence alignment, and more recent ones such as expression data analysis and comparative genomics. It combines algorithmic, statistical, database, and AI-based methods for studying biological problems. The book also contains an introductory chapter, as well as one on general statistical modeling and computational techniques in molecular biology. Each chapter presents a self-contained review of a specific subject. Not for sale in China, including Hong Kong.
Author: Alexander Anderson
Publisher: Springer Science & Business Media
Published: 2007-08-08
Total Pages: 346
ISBN-13: 376438123X
DOWNLOAD EBOOKAimed at postgraduate students in a variety of biology-related disciplines, this volume presents a collection of mathematical and computational single-cell-based models and their application. The main sections cover four general model groupings: hybrid cellular automata, cellular potts, lattice-free cells, and viscoelastic cells. Each section is introduced by a discussion of the applicability of the particular modelling approach and its advantages and disadvantages, which will make the book suitable for students starting research in mathematical biology as well as scientists modelling multicellular processes.
Author: Dominik Wodarz
Publisher: Springer Science & Business Media
Published: 2007-04-05
Total Pages: 226
ISBN-13: 0387687335
DOWNLOAD EBOOKThis book reviews how mathematical and computational approaches can be useful to help us understand how killer T-cell responses work to fight viral infections. It also demonstrates, in a writing style that exemplifies the point, that such mathematical and computational approaches are most valuable when coupled with experimental work through interdisciplinary collaborations. Designed to be useful to immunoligists and viroligists without extensive computational background, the book covers a broad variety of topics, including both basic immunological questions and the application of these insights to the understanding and treatment of pathogenic human diseases.
