A Cell Biologist's Guide to Modeling and Bioinformatics

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Publisher : John Wiley & Sons
ISBN 13 : 9780470139349
Total Pages : 224 pages
Book Rating : 4.1/5 (393 download)

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Book Synopsis A Cell Biologist's Guide to Modeling and Bioinformatics by : Raquell M. Holmes

Download or read book A Cell Biologist's Guide to Modeling and Bioinformatics written by Raquell M. Holmes and published by John Wiley & Sons. This book was released on 2008-02-13 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Cell Biology

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Publisher : Springer Science & Business Media
ISBN 13 : 0387224599
Total Pages : 484 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Computational Cell Biology by : Christopher P. Fall

Download or read book Computational Cell Biology written by Christopher P. Fall and published by Springer Science & Business Media. This book was released on 2007-06-04 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Modeling in Systems Biology

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Publisher : Springer Science & Business Media
ISBN 13 : 1849964742
Total Pages : 378 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Modeling in Systems Biology by : Ina Koch

Download or read book Modeling in Systems Biology written by Ina Koch and published by Springer Science & Business Media. This book was released on 2010-10-21 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging, multi-disciplinary field of systems biology is devoted to the study of the relationships between various parts of a biological system, and computer modeling plays a vital role in the drive to understand the processes of life from an holistic viewpoint. Advancements in experimental technologies in biology and medicine have generated an enormous amount of biological data on the dependencies and interactions of many different molecular cell processes, fueling the development of numerous computational methods for exploring this data. The mathematical formalism of Petri net theory is able to encompass many of these techniques. This essential text/reference presents a comprehensive overview of cutting-edge research in applications of Petri nets in systems biology, with contributions from an international selection of experts. Those unfamiliar with the field are also provided with a general introduction to systems biology, the foundations of biochemistry, and the basics of Petri net theory. Further chapters address Petri net modeling techniques for building and analyzing biological models, as well as network prediction approaches, before reviewing the applications to networks of different biological classification. Topics and features: investigates the modular, qualitative modeling of regulatory networks using Petri nets, and examines an Hybrid Functional Petri net simulation case study; contains a glossary of the concepts and notation used in the book, in addition to exercises at the end of each chapter; covers the topological analysis of metabolic and regulatory networks, the analysis of models of signaling networks, and the prediction of network structure; provides a biological case study on the conversion of logical networks into Petri nets; discusses discrete modeling, stochastic modeling, fuzzy modeling, dynamic pathway modeling, genetic regulatory network modeling, and quantitative analysis techniques; includes a Foreword by Professor Jens Reich, Professor of Bioinformatics at Humboldt University and Max Delbrück Center for Molecular Medicine in Berlin. This unique guide to the modeling of biochemical systems using Petri net concepts will be of real utility to researchers and students of computational biology, systems biology, bioinformatics, computer science, and biochemistry.

Principles of Computational Cell Biology

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Publisher : John Wiley & Sons
ISBN 13 : 3527333584
Total Pages : 458 pages
Book Rating : 4.5/5 (273 download)

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Book Synopsis Principles of Computational Cell Biology by : Volkhard Helms

Download or read book Principles of Computational Cell Biology written by Volkhard Helms and published by John Wiley & Sons. This book was released on 2019-04-29 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Digital Cell

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Publisher :
ISBN 13 : 9781621822783
Total Pages : 200 pages
Book Rating : 4.8/5 (227 download)

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Book Synopsis The Digital Cell by : Stephen J. Royle

Download or read book The Digital Cell written by Stephen J. Royle and published by . This book was released on 2019 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Cell biology is becoming an increasingly quantitative field, as technical advances mean researchers now routinely capture vast amounts of data. This handbook is an essential guide to the computational approaches, image processing and analysis techniques, and basic programming skills that are now part of the skill set of anyone working in the field"--

Basics of Cell Biology

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Publisher : Cybellium
ISBN 13 : 1836790465
Total Pages : 223 pages
Book Rating : 4.8/5 (367 download)

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Book Synopsis Basics of Cell Biology by :

Download or read book Basics of Cell Biology written by and published by Cybellium . This book was released on with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Biological Reaction Engineering

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Publisher : John Wiley & Sons
ISBN 13 : 352782443X
Total Pages : 560 pages
Book Rating : 4.5/5 (278 download)

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Book Synopsis Biological Reaction Engineering by : Elmar Heinzle

Download or read book Biological Reaction Engineering written by Elmar Heinzle and published by John Wiley & Sons. This book was released on 2021-04-14 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical book presents the modeling of dynamic biological engineering processes in a readily comprehensible manner, using the unique combination of simplified fundamental theory and direct hands-on computer simulation. The mathematics is kept to a minimum, and yet the 60 examples illustrate almost every aspect of biological engineering science, with each one described in detail, including the model equations. The programs are written in the modern user-friendly simulation language Berkeley Madonna, which can be run on both Windows PC and Power-Macintosh computers. Madonna solves models comprising many ordinary differential equations using very simple programming, including arrays. It is so powerful that the model parameters may be defined as "sliders", which allow the effect of their change on the model behavior to be seen almost immediately. Data may be included for curve fitting, and sensitivity or multiple runs may be performed. The results can be viewed simultaneously on multiple-graph windows or by using overlays. The examples can be varied to fit any real situation, and the suggested exercises provide practical guidance. The extensive teaching experience of the authors is reflected in this well-balanced presentation, which is suitable for the teacher, student, biochemist or the engineer.

E‐Cell System

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Publisher : Springer Science & Business Media
ISBN 13 : 146146157X
Total Pages : 185 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis E‐Cell System by : Satya Nanda Vel Arjunan

Download or read book E‐Cell System written by Satya Nanda Vel Arjunan and published by Springer Science & Business Media. This book was released on 2013-05-13 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interdisciplinary field of molecular systems biology aims to understand the behavior and mechanisms of biological processes composed of individual molecular components. As we gain more qualitative and quantitative information of complex intracellular processes, biochemical modeling and simulation become indispensable not only to uncover the molecular mechanisms of the processes, but to perform useful predictions. To this end, the E‐Cell System, a multi‐algorithm, multi‐timescale object‐oriented simulation platform, can be used to construct predictive virtual biological systems. Gene regulatory and biochemical networks that constitute a sub‐ or a whole cellular system can be constructed using the E‐Cell System to perform qualitative and quantitative analyses. The purpose of E‐Cell System: Basic Concepts and Applications is to provide a comprehensive guide for the E‐Cell System version 3 in terms of the software features and its usage. While the publicly available E‐Cell Simulation Environment version 3 User's Manual provides the technical details of model building and scripting, it does not describe some of the underlying concepts of the E‐Cell System. The first part of the book addresses this issue by providing the basic concepts of modeling and simulation with the E‐Cell System.

A Biologist’s Guide to Artificial Intelligence

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Publisher : Elsevier
ISBN 13 : 0443240000
Total Pages : 370 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis A Biologist’s Guide to Artificial Intelligence by : Ambreen Hamadani

Download or read book A Biologist’s Guide to Artificial Intelligence written by Ambreen Hamadani and published by Elsevier. This book was released on 2024-03-15 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms. Helps biologists succeed in understanding the concepts of Artificial Intelligence and machine learning Equips with new data mining strategies an easy interface into the world of Artificial Intelligence Enables researchers to enhance their own sphere of researching Artificial Intelligence

Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling

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Publisher : World Scientific
ISBN 13 : 9814481874
Total Pages : 266 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling by : Dominik Wodarz

Download or read book Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling written by Dominik Wodarz and published by World Scientific. This book was released on 2005-01-24 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses.

Network-based Mathematical Modeling in Cell and Developmental Biology

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Publisher : Frontiers Media SA
ISBN 13 : 283255346X
Total Pages : 137 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Network-based Mathematical Modeling in Cell and Developmental Biology by : Susan Mertins

Download or read book Network-based Mathematical Modeling in Cell and Developmental Biology written by Susan Mertins and published by Frontiers Media SA. This book was released on 2024-08-22 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vast amount of knowledge in Cell Signaling gathered through reductionist efforts and omics technology is poised to approach a Systems Biology understanding of precise representations of cell structure and function and predictions at multi-scale levels despite the complexity. Super-resolution microscopy and single cell analysis are also providing opportunities to explore both spatial and temporal landscapes. Notably, many basic biological processes have been studied capturing mechanistic detail with the goal to understand cellular proliferation and differentiation, gene regulation, morphogenesis, metabolism, and cell-cell communication. Similarly, at the intracellular level, addressing functions such as self-assembly, phase separation, and transport is leading to insights not readily understood as linear pathways. Therefore, network-based mathematical modeling, delineating dynamic biochemical reactions through ordinary and partial differential equations, promises to discover emergent biological properties not heretofore expected.

Dynamical Models in Biology

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Publisher : Academic Press
ISBN 13 : 0080530605
Total Pages : 199 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Dynamical Models in Biology by : Miklós Farkas

Download or read book Dynamical Models in Biology written by Miklós Farkas and published by Academic Press. This book was released on 2001-06-15 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Models in Biology offers an introduction to modern mathematical biology. This book provides a short introduction to modern mathematical methods in modeling dynamical phenomena and treats the broad topics of population dynamics, epidemiology, evolution, immunology, morphogenesis, and pattern formation. Primarily employing differential equations, the author presents accessible descriptions of difficult mathematical models. Recent mathematical results are included, but the author's presentation gives intuitive meaning to all the main formulae. Besides mathematicians who want to get acquainted with this relatively new field of applications, this book is useful for physicians, biologists, agricultural engineers, and environmentalists. Key Topics Include: - Chaotic dynamics of populations - The spread of sexually transmitted diseases - Problems of the origin of life - Models of immunology - Formation of animal hide patterns - The intuitive meaning of mathematical formulae explained with many figures - Applying new mathematical results in modeling biological phenomena Miklos Farkas is a professor at Budapest University of Technology where he has researched and instructed mathematics for over thirty years. He has taught at universities in the former Soviet Union, Canada, Australia, Venezuela, Nigeria, India, and Columbia. Prof. Farkas received the 1999 Bolyai Award of the Hungarian Academy of Science and the 2001 Albert Szentgyorgyi Award of the Hungarian Ministry of Education. - A 'down-to-earth' introduction to the growing field of modern mathematical biology - Also includes appendices which provide background material that goes beyond advanced calculus and linear algebra

Molecular Biology of the Cell 6E - The Problems Book

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Publisher : Garland Science
ISBN 13 : 1317497279
Total Pages : 984 pages
Book Rating : 4.3/5 (174 download)

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Book Synopsis Molecular Biology of the Cell 6E - The Problems Book by : John Wilson

Download or read book Molecular Biology of the Cell 6E - The Problems Book written by John Wilson and published by Garland Science. This book was released on 2014-11-21 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Problems Book helps students appreciate the ways in which experiments and simple calculations can lead to an understanding of how cells work by introducing the experimental foundation of cell and molecular biology. Each chapter reviews key terms, tests for understanding basic concepts, and poses research-based problems. The Problems Book has be

Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

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Publisher : Springer
ISBN 13 : 3319626272
Total Pages : 377 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology by : David Holcman

Download or read book Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology written by David Holcman and published by Springer. This book was released on 2017-10-04 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected chapters will review fundamental and current topics and approaches to dynamical systems in cellular biology. This text aims to develop improved mathematical and computational methods with which to study biological processes. At the scale of a single cell, stochasticity becomes important due to low copy numbers of biological molecules, such as mRNA and proteins that take part in biochemical reactions driving cellular processes. When trying to describe such biological processes, the traditional deterministic models are often inadequate, precisely because of these low copy numbers. This book presents stochastic models, which are necessary to account for small particle numbers and extrinsic noise sources. The complexity of these models depend upon whether the biochemical reactions are diffusion-limited or reaction-limited. In the former case, one needs to adopt the framework of stochastic reaction-diffusion models, while in the latter, one can describe the processes by adopting the framework of Markov jump processes and stochastic differential equations. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology will appeal to graduate students and researchers in the fields of applied mathematics, biophysics, and cellular biology.

An Introduction to Computational Systems Biology

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Publisher : CRC Press
ISBN 13 : 0429944527
Total Pages : 359 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis An Introduction to Computational Systems Biology by : Karthik Raman

Download or read book An Introduction to Computational Systems Biology written by Karthik Raman and published by CRC Press. This book was released on 2021-05-30 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks—a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields. Key Features: A hands-on approach to modelling Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models Thoughtful exercises to test and enable understanding of concepts State-of-the-art chapters on exciting new developments, like community modelling and biological circuit design Emphasis on coding and software tools for systems biology Companion website featuring lecture videos, figure slides, codes, supplementary exercises, further reading, and appendices: https://ramanlab.github.io/SysBioBook/ An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others.

Pattern formation in biology

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Publisher : Frontiers Media SA
ISBN 13 : 2832525687
Total Pages : 157 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Pattern formation in biology by : Luis Diambra

Download or read book Pattern formation in biology written by Luis Diambra and published by Frontiers Media SA. This book was released on 2023-06-07 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Practical Guide To Cancer Systems Biology

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Publisher : World Scientific
ISBN 13 : 9813229160
Total Pages : 153 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis A Practical Guide To Cancer Systems Biology by : Hsueh-fen Juan

Download or read book A Practical Guide To Cancer Systems Biology written by Hsueh-fen Juan and published by World Scientific. This book was released on 2017-11-29 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding functional activities from a systems-wide perspective. It provides an iterative process of experimental measurements, data analysis, and computational simulation to model biological behavior. This book provides explained protocols for high-throughput experiments and computational analysis procedures central to cancer systems biology research and education. Readers will learn how to generate and analyze high-throughput data, therapeutic target protein structure modeling and docking simulation for drug discovery. This is the first practical guide for students and scientists who wish to become systems biologists or utilize the approach for cancer research.