Computational Cell Biology

Computational Cell Biology PDF

Author: Christopher P. Fall

Publisher: Springer Science & Business Media

Published: 2007-06-04

Total Pages: 484

ISBN-13: 0387224599

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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.

Computational Methods in Cell Biology

Computational Methods in Cell Biology PDF

Author:

Publisher: Academic Press

Published: 2012-05-31

Total Pages: 427

ISBN-13: 0123884217

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Computational 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

Principles of Computational Cell Biology

Principles of Computational Cell Biology PDF

Author: Volkhard Helms

Publisher: John Wiley & Sons

Published: 2019-04-29

Total Pages: 458

ISBN-13: 3527333584

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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.

Computational Stem Cell Biology

Computational Stem Cell Biology PDF

Author: Patrick Cahan

Publisher: Humana

Published: 2019-05-07

Total Pages: 0

ISBN-13: 9781493992232

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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.

A Computer Scientist's Guide to Cell Biology

A Computer Scientist's Guide to Cell Biology PDF

Author: William W. Cohen

Publisher: Springer Science & Business Media

Published: 2007-07-23

Total Pages: 104

ISBN-13: 0387482784

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This book is designed specifically as a guide for Computer Scientists needing an introduction to Cell Biology. The text explores three different facets of biology: biological systems, experimental methods, and language and nomenclature. The author discusses what biologists are trying to determine from their experiments, how various experimental procedures are used and how they relate to accepted concepts in computer science, and the vocabulary necessary to read and understand current literature in biology. The book is an invaluable reference tool and an excellent starting point for a more comprehensive examination of cell biology.

Computational Cell Biology

Computational Cell Biology PDF

Author: Louise von Stechow

Publisher: Humana Press

Published: 2018-08-08

Total Pages: 436

ISBN-13: 9781493986170

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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.

Cellular Biophysics and Modeling

Cellular Biophysics and Modeling PDF

Author: Greg Conradi Smith

Publisher: Cambridge University Press

Published: 2019-03-14

Total Pages: 395

ISBN-13: 1107005361

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What every neuroscientist should know about the mathematical modeling of excitable cells, presented at an introductory level.

An Introduction to Computational Systems Biology

An Introduction to Computational Systems Biology PDF

Author: Karthik Raman

Publisher: CRC Press

Published: 2021-05-30

Total Pages: 359

ISBN-13: 0429944527

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Emphasises a hands-on approach to modelling Strong emphasis on coding and software tools for systems biology Covers the entire spectrum of modelling, from static networks, to dynamic models Thoughtful exercises to test and enable student understanding of concepts Current chapters on exciting new developments like whole-cell modelling and community modelling