Computational Modeling Of Gene Regulatory Networks A Primer PDF Download eBOOK

Download full Computational Modeling Of Gene Regulatory Networks A Primer Book or read online anytime anywhere, Available in PDF, ePub and Kindle. Click Get Books and find your favorite books in the online library. Create free account to access unlimited books, fast download and ads free! We cannot guarantee that book is in the library. READ as many books as you like (Personal use).

Computational Modeling of Gene Regulatory Networks

by Hamid Bolouri
Publisher: Imperial College Press
Release Date: 2008
Genre: Medical
Pages: 176 pages
ISBN 13: 0877882487
ISBN 10: 9780877882480
Format: PDF, ePUB, MOBI, Audiobooks, Kindle

GET EBOOK

This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are provided for use in both classroom exercises as well as self-guided exploration and learning. As such, the book is ideal for self-learning and also as the basis of a semester-long course for undergraduate and graduate students in molecular biology, bioengineering, genome sciences, or systems biology.
RELATED BOOKS
Computational Modeling of Gene Regulatory Networks
Language: en
Pages: 326
Authors: Hamid Bolouri
Categories: Medical
Type: BOOK - Published: 2008 - Publisher: Imperial College Press

This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are provided for use in both classroom exercises as well as self-guided exploration and learning. As such, the book is ideal for self-learning and also as the basis of a semester-long course for undergraduate and graduate students in molecular biology, bioengineering, genome sciences, or systems biology.
Computational Modeling of Gene Regulatory Networks — A Primer
Language: en
Pages: 340
Authors: Hamid Bolouri
Categories: Science
Type: BOOK - Published: 2008-08-13 - Publisher: World Scientific Publishing Company

This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are provided for use in both classroom exercises as well as self-guided exploration and learning. As such, the book is ideal for self-learning and also as the basis of a semester-long course for undergraduate and graduate students in molecular biology, bioengineering, genome sciences, or systems biology.
Handbook of Research on Computational Methodologies in Gene Regulatory Networks
Language: en
Pages: 740
Authors: Das, Sanjoy, Caragea, Doina, Welch, Stephen, Hsu, William H.
Categories: Computers
Type: BOOK - Published: 2009-10-31 - Publisher: IGI Global

"This book focuses on methods widely used in modeling gene networks including structure discovery, learning, and optimization"--Provided by publisher.
Towards a Theory of Development
Language: en
Pages: 283
Authors: Alessandro Minelli, Thomas Pradeu
Categories: Science
Type: BOOK - Published: 2014 - Publisher: Oxford University Press

Is it possible to explain and predict the development of living things? What is development? Answers to these innocuous questions are far from straightforward. To date, no systematic, targeted effort has been made to construct a unifying theory of development. This text offers a unique exploration of the foundations of ontogeny by asking how the development of living things should be understood. It explores the key concepts of developmental biology, asks whether general principles of development can be discovered, and examines the role of models and theories. This book analyses a wealth of approaches to concepts, models and theories of development, such as gene regulatory networks, accounts based on systems biology and on physics of soft matter, the different articulations of evolution and development, symbiont-induced development, as well as the widely discussed concepts of positional information and morphogenetic field, the idea of a 'programme' of development and its critiques, and the long-standing opposition between preformationist and epigenetic conceptions of development. --
Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)
Language: en
Pages: 873
Authors: Aboul-Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Diego Oliva, Fahmy M. Tolba
Categories: Technology & Engineering
Type: BOOK - Published: 2020-03-23 - Publisher: Springer Nature

This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.
Artificial Chemistries
Language: en
Pages: 576
Authors: Wolfgang Banzhaf, Lidia Yamamoto
Categories: Science
Type: BOOK - Published: 2015-07-03 - Publisher: MIT Press

An introduction to the fundamental concepts of the emerging field of Artificial Chemistries, covering both theory and practical applications. The field of Artificial Life (ALife) is now firmly established in the scientific world, but it has yet to achieve one of its original goals: an understanding of the emergence of life on Earth. The new field of Artificial Chemistries draws from chemistry, biology, computer science, mathematics, and other disciplines to work toward that goal. For if, as it has been argued, life emerged from primitive, prebiotic forms of self-organization, then studying models of chemical reaction systems could bring ALife closer to understanding the origins of life. In Artificial Chemistries (ACs), the emphasis is on creating new interactions rather than new materials. The results can be found both in the virtual world, in certain multiagent systems, and in the physical world, in new (artificial) reaction systems. This book offers an introduction to the fundamental concepts of ACs, covering both theory and practical applications. After a general overview of the field and its methodology, the book reviews important aspects of biology, including basic mechanisms of evolution; discusses examples of ACs drawn from the literature; considers fundamental questions of how order can emerge, emphasizing the concept of chemical organization (a closed and self-maintaining set of chemicals); and surveys a range of applications, which include computing, systems modeling in biology, and synthetic life. An appendix provides a Python toolkit for implementing ACs.
Mathematical Modeling in Systems Biology
Language: en
Pages: 424
Authors: Brian P. Ingalls
Categories: Science
Type: BOOK - Published: 2013-07-05 - Publisher: MIT Press

An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology. Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels. The first four chapters cover the basics of mathematical modeling in molecular systems biology. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3–8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis.
Introduction to Bioinformatics
Language: en
Pages: 432
Authors: Arthur Lesk
Categories: Science
Type: BOOK - Published: 2019-05 - Publisher:

The ideal text for biology students encountering bioinformatics for the first time, Introduction to Bioinformatics describes how recent technological advances in the field can be used as a powerful set of tools for receiving and analyzing biological data.
Evolutionary Developmental Biology
Language: en
Pages: 452
Authors: Arthur Lesk
Categories: Science
Type: BOOK - Published: 2021-02-16 - Publisher: Academic Press

Evolutionary Developmental Biology, Volume 141 focuses on recent research in evolutionary developmental biology, the science studying how changes in development cause the variations that natural selection operate on. Several new hypotheses and models are presented in this volume, and these concern how homology may be properly delineated, how neural crest and placode cells emerged and how they formed the skull and jaw, and how plasticity and developmental symbiosis enable normal development to be regulated by environmental factors. •New models for homology •New hypotheses for the generation of chordates •New models for the roles of plasticity and symbionts in normal development
Plant Biomechanics
Language: en
Pages: 441
Authors: Anja Geitmann, Joseph Gril
Categories: Science
Type: BOOK - Published: 2018-06-09 - Publisher: Springer

This book provides important insights into the operating principles of plants by highlighting the relationship between structure and function. It describes the quantitative determination of structural and mechanical parameters, such as the material properties of a tissue, in correlation with specific features, such as the ability of the tissue to conduct water or withstand bending forces, which will allow advanced analysis in plant biomechanics. This knowledge enables researchers to understand the developmental changes that occur in plant organs over their life span and under the influence of environmental factors. The authors provide an overview of the state of the art of plant structure and function and how they relate to the mechanical behavior of the organism, such as the ability of plants to grow against the gravity vector or to withstand the forces of wind. They also show the sophisticated strategies employed by plants to effect organ movement and morphogenesis in the absence of muscles or cellular migration. As such, this book not only appeals to scientists currently working in plant sciences and biophysics, but also inspires future generations to pursue their own research in this area.
Rebuilding cerebellar network computations from cellular neurophysiology
Language: en
Pages:
Authors: Egidio D'Angelo
Categories: Science
Type: BOOK - Published: - Publisher: Frontiers E-books

This Research Topic is centered around the attempt to understand network activity of the brain by combining experimental and modeling techniques. A surprisingly rich set of new observations is emerging about the functions of the olivo-cerebellar cortical modules. This Research Topic will consider the critical elements of new emerging knowledge achieved using in vitro and in vivo techniques and the computational attempts at functional circuit reconstruction.
Fundamentals of Systems Biology
Language: en
Pages: 367
Authors: Markus W. Covert
Categories: Technology & Engineering
Type: BOOK - Published: 2017-10-19 - Publisher: CRC Press

For decades biology has focused on decoding cellular processes one gene at a time, but many of the most pressing biological questions, as well as diseases such as cancer and heart disease, are related to complex systems involving the interaction of hundreds, or even thousands, of gene products and other factors. How do we begin to understand this complexity? Fundamentals of Systems Biology: From Synthetic Circuits to Whole-cell Models introduces students to methods they can use to tackle complex systems head-on, carefully walking them through studies that comprise the foundation and frontier of systems biology. The first section of the book focuses on bringing students quickly up to speed with a variety of modeling methods in the context of a synthetic biological circuit. This innovative approach builds intuition about the strengths and weaknesses of each method and becomes critical in the book’s second half, where much more complicated network models are addressed—including transcriptional, signaling, metabolic, and even integrated multi-network models. The approach makes the work much more accessible to novices (undergraduates, medical students, and biologists new to mathematical modeling) while still having much to offer experienced modelers--whether their interests are microbes, organs, whole organisms, diseases, synthetic biology, or just about any field that investigates living systems.