| 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 | : |
| Publisher | : Academic Press |
| Total Pages | : 427 |
| Release | : 2012-05-31 |
| Genre | : Science |
| ISBN | : 0123884217 |
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
| 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 | : 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 | : Alexander Anderson |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 346 |
| Release | : 2007-08-08 |
| Genre | : Mathematics |
| ISBN | : 376438123X |
Aimed 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 | : Constantine Pozrikidis |
| Publisher | : CRC Press |
| Total Pages | : 328 |
| Release | : 2010-06-02 |
| Genre | : Mathematics |
| ISBN | : 1439820066 |
Spanning biological, mathematical, computational, and engineering sciences, computational biofluiddynamics addresses a diverse family of problems involving fluid flow inside and around living organisms, organs, tissue, biological cells, and other biological materials. Computational Hydrodynamics of Capsules and Biological Cells provides a comprehen
| Author | : Dominik Wodarz |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 226 |
| Release | : 2007-04-05 |
| Genre | : Mathematics |
| ISBN | : 0387687335 |
This 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.
| Author | : Bernhard Haubold |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 329 |
| Release | : 2006-08-09 |
| Genre | : Science |
| ISBN | : 3764373873 |
Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.
