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| biology words that start with x: Academic Biology X , 2008 |
| biology words that start with x: Molecular Biology Nancy Lynn Craig, Orna Cohen-Fix, Gisela Storz, 2014 Molecular Biology: Principles of Genome Function offers a fresh, distinctive approach to the teaching of molecular biology. It is an approach that reflects the challenge of teaching a subject that is in many ways unrecognizable from the molecular biology of the 20th century - a discipline in which our understanding has advanced immeasurably, but about which many intriguing questions remain to be answered. It is written with severalguiding themes in mind: - A focus on key principles provides a robust conceptual framework on which students can build a solid understanding of the discipline; - An emphasis on thecommonalities that exist between the three kingdoms of life, and the discussion of differences between the three kingdoms where such differences offer instructive insights into molecular processes and components, gives students an accurate depiction of our current understanding of the conserved nature of molecular biology, and the differences that underpin biological diversity; - An integrated approach demonstrates how certain molecular phenomena have diverse impacts on genomefunction by presenting them as themes that recur throughout the book, rather than as artificially separated topics At heart, molecular biology is an experimental science, and a centralelement to the understanding of molecular biology is an appreciation of the approaches taken to yield the information from which concepts and principles are deduced. Yet there is also the challenge of introducing the experimental evidence in a way that students can readily comprehend. Molecular Biology responds to this challenge with Experimental Approach panels, which branch off from the text in a clearly-signposted way. These panels describe pieces ofresearch that have been undertaken, and which have been particularly valuable in elucidating difference aspects of molecular biology. Each panel is carefully cross-referenced to the discussion of key molecular biologytools and techniques, which are presented in a dedicated chapter at the end of the book. Beyond this, Molecular Biology further enriches the learning experience with full-colour, custom-drawn artwork; end-of-chapter questions and summaries; relevant suggested further readings grouped by topic; and an extensive glossary of key terms. Among the students being taught today are the molecular biologists of tomorrow; these individuals will be ina position to ask fascinating questions about fields whose complexity and sophistication become more apparent with each year that passes. Molecular Biology: Principles of Genome Function is the perfectintroduction to this challenging, dynamic, but ultimately fascinating discipline. |
| biology words that start with x: Molecular Biology Nancy L. Craig, Rachel R. Green, Carol C. Greider, Cynthia Wolberger, Gisela G. Storz, 2021-01-20 A fresh, distinctive approach to the teaching of molecular biology. With its focus on key principles, its emphasis on the commonalities that exist between the three kingdoms of life, and its integrated coverage of experimental methods and approaches, Molecular Biology is the perfect companion to any molecular biology course. |
| biology words that start with x: Systems Biology Jinzhi Lei, 2021-05-13 This book discusses the mathematical simulation of biological systems, with a focus on the modeling of gene expression, gene regulatory networks and stem cell regeneration. The diffusion of morphogens is addressed by introducing various reaction-diffusion equations based on different hypotheses concerning the process of morphogen gradient formation. The robustness of steady-state gradients is also covered through boundary value problems. The introduction gives an overview of the relevant biological concepts (cells, DNA, organism development) and provides the requisite mathematical preliminaries on continuous dynamics and stochastic modeling. A basic understanding of calculus is assumed. The techniques described in this book encompass a wide range of mechanisms, from molecular behavior to population dynamics, and the inclusion of recent developments in the literature together with first-hand results make it an ideal reference for both new students and experienced researchers in the field of systems biology and applied mathematics. |
| biology words that start with x: An Introduction to Systems Biology Uri Alon, 2006-07-07 Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models. |
| biology words that start with x: Submolecular Biology and Cancer G. E. W. Wolstenholme, David W. FitzSimons, Julie Whelan, 2009-09-16 The Novartis Foundation Series is a popular collection of the proceedings from Novartis Foundation Symposia, in which groups of leading scientists from a range of topics across biology, chemistry and medicine assembled to present papers and discuss results. The Novartis Foundation, originally known as the Ciba Foundation, is well known to scientists and clinicians around the world. |
| biology words that start with x: Essentials of Chemical Biology Andrew D. Miller, Julian A Tanner, 2024-01-24 Essentials of Chemical Biology Discover a detailed knowledge of concepts and techniques that shape this unique multi-discipline Chemical Biology is devoted to understanding the way that Biology works at the molecular level. This is a problem-driven multi-discipline, incorporating as it does Organic, Physical, Inorganic, and Analytical Chemistry alongside newer emerging molecular disciplines. In recent years, Chemical Biology has emerged as a vibrant and growing multi-discipline distinct from Biochemistry that is focused on the quantitative analyses of the structures and functions of biological macromolecules and macromolecular lipid assemblies, at first in isolation, then in vitro and in vivo. The second edition of the Essentials of Chemical Biology begins with a thorough introduction to the structure of biological macromolecules and macromolecular lipid assemblies, before moving on to the principles of chemical and biological synthesis, followed by descriptions of a comprehensive variety of research techniques and experimental methods. In addition, the second edition now includes new sections on the behaviour of biological macromolecules and macromolecular lipid assemblies in cells in vitro and in organisms in vivo. Given this, the second edition of the Essentials of Chemical Biology promises to cement itself as the leading introduction to Chemical Biology, incorporating descriptions of cutting-edge research wherever appropriate. Hence, readers of the second edition of the Essentials of Chemical Biology will find: a general expansion in understanding of basic molecular mechanisms in Biology moving towards cellular and organismal mechanisms entirely new chapters covering miniaturization and array technologies, Chemical Cell Biology, and the interface between Chemical Biology and Nanotechnology updates to chapters reflecting recent research developments an increased engagement with medical applications Essentials of Chemical Biology is ideal for advanced undergraduates or (post) graduate students in Chemical Biology and adjacent fields. |
| biology words that start with x: Introductory Biological Statistics John E. Havel, Raymond E. Hampton, Scott J. Meiners, 2019-04-30 A thorough understanding of biology, no matter which subfield, requires a thorough understanding of statistics. As in previous editions, Havel and Hampton (with new co-author Scott Meiners) ground students in all essential methods of descriptive and inferential statistics, using examples from different biological sciences. The authors have retained the readable, accessible writing style popular with both students and instructors. Pedagogical improvements new to this edition include concept checks in all chapters to assist students in active learning and code samples showing how to solve many of the book's examples using R. Each chapter features numerous practice and homework exercises, with larger data sets available for download at waveland.com. |
| biology words that start with x: A First Course in Systems Biology Eberhard Voit, 2017-09-05 A First Course in Systems Biology is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its main focus is the development of computational models and their applications to diverse biological systems. The book begins with the fundamentals of modeling, then reviews features of the molecular inventories that bring biological systems to life and discusses case studies that represent some of the frontiers in systems biology and synthetic biology. In this way, it provides the reader with a comprehensive background and access to methods for executing standard systems biology tasks, understanding the modern literature, and launching into specialized courses or projects that address biological questions using theoretical and computational means. New topics in this edition include: default modules for model design, limit cycles and chaos, parameter estimation in Excel, model representations of gene regulation through transcription factors, derivation of the Michaelis-Menten rate law from the original conceptual model, different types of inhibition, hysteresis, a model of differentiation, system adaptation to persistent signals, nonlinear nullclines, PBPK models, and elementary modes. The format is a combination of instructional text and references to primary literature, complemented by sets of small-scale exercises that enable hands-on experience, and large-scale, often open-ended questions for further reflection. |
| biology words that start with x: Advanced HPC-based Computational Modeling in Biomechanics and Systems Biology Mariano Vázquez, Peter V. Coveney, Hernan Edgardo Grecco, Alfons Hoekstra, Bastien Chopard, 2019-04-04 This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact. |
| biology words that start with x: Physical Biology of the Cell Rob Phillips, Jane Kondev, Julie Theriot, Hernan Garcia, 2012-10-29 Physical Biology of the Cell is a textbook for a first course in physical biology or biophysics for undergraduate or graduate students. It maps the huge and complex landscape of cell and molecular biology from the distinct perspective of physical biology. As a key organizing principle, the proximity of topics is based on the physical concepts that |
| biology words that start with x: A New Approach to I.C.S.E. Biology for Class X Dr. K.K. Aggarwal, Goyal Brothers Prakashan, 2020-04-10 Goyal Brothers Prakashan |
| biology words that start with x: Advanced Methods in Structural Biology Ângela Sousa, Luis Passarinha, 2023-04-24 This volume explores the latest integrated bioprocesses and technologies used to study the production of the target recombinant protein of therapeutic or diagnostic interest; its isolation, purification, and stabilization; and the bio-interaction and structural analyses. The chapters in this book are organized into four parts. Part One covers production methods of soluble and membrane proteins in prokaryotic and eukaryotic expression systems, such as Lactococcus lactis and Escherichia coli. Part Two describes traditional and novel approaches for recombinant protein purification and stabilization, and buffers and additives. Part Three discusses automated methods in structural biology based on in silico approaches; and Part Four provides examples of advanced protein investigation methodologies to assess structural analysis such as high-throughput protein crystallization and time-resolved serial crystallography. 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. Cutting-edge and comprehensive, Advanced Methods in Structural Biology is a valuable resource to those in academia (i.e., graduate students and postdoctoral researchers) and researchers in the pharmaceutical industry who wish to learn more about this developing field. Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
| biology words that start with x: Biological Knowledge Discovery Handbook Mourad Elloumi, Albert Y. Zomaya, 2013-12-24 The first comprehensive overview of preprocessing, mining,and postprocessing of biological data Molecular biology is undergoing exponential growth in both thevolume and complexity of biological data—and knowledgediscovery offers the capacity to automate complex search and dataanalysis tasks. This book presents a vast overview of the mostrecent developments on techniques and approaches in the field ofbiological knowledge discovery and data mining (KDD)—providingin-depth fundamental and technical field information on the mostimportant topics encountered. Written by top experts, Biological Knowledge DiscoveryHandbook: Preprocessing, Mining, and Postprocessing of BiologicalData covers the three main phases of knowledge discovery (datapreprocessing, data processing—also known as datamining—and data postprocessing) and analyzes both verificationsystems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological DataMining Combining sound theory with practical applications in molecularbiology, Biological Knowledge Discovery Handbook is idealfor courses in bioinformatics and biological KDD as well as forpractitioners and professional researchers in computer science,life science, and mathematics. |
| biology words that start with x: Systems Evolutionary Biology Bor-Sen Chen, 2018-02-03 Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems Synthetic Biology discusses the evolutionary game theory and strategies of nonlinear stochastic biological networks under random genetic variations and environmental disturbances and their application to systematic synthetic biology design. The book provides more realistic stochastic biological system models to mimic the real biological systems in evolutionary process and then introduces network evolvability, stochastic evolutionary game theory and strategy based on nonlinear stochastic networks in evolution. Readers will find remarkable, revolutionary information on genetic evolutionary biology that be applied to economics, engineering and bioscience. - Explains network fitness, network evolvability and network robustness of biological networks from the systematic perspective - Discusses the evolutionary noncooperative and cooperative game strategies of biological networks - Offers detailed diagrams to help readers understand biological networks, their systematic behaviors and the simulational results of evolutionary biological networks - Includes examples in every chapter with computational simulation to illustrate the solution procedure of evolutionary theory, strategy and results |
| biology words that start with x: Formal Methods for Computational Systems Biology Marco Bernardo, Pierpaolo Degano, Gianluigi Zavattaro, 2008-05-20 This book presents a set of 14 papers accompanying the lectures of leading researchers given at the 8th edition of the International School on Formal Methods for the Design of Computer, Communication and Software Systems, SFM 2008, held in Bertinoro, Italy in June 2008. SFM 2008 was devoted to formal techniques for computational systems biology and covered several aspects of the field, including computational models, calculi and logics for biological systems, and verification and simulation methods. The first part of this volume comprises nine papers based on regular lectures, the second part of this volume comprises five papers based on talks given by people involved in the Italian BISCA research project on Bio-Inspired Systems and Calculi with Applications. |
| biology words that start with x: (Super Cracker Series) NTA CUET UG Physics, Chemistry, Mathematics and Biology CBT 30 Practice Sets (Hindi & English) Team Prabhat, 2023-03-18 (Super Cracker Series) NTA CUET UG Physics, Chemistry, Mathematics and Biology CBT 30 Practice Sets (Hindi & English) The Present Edition of Guide for Super Cracker Series “CUET (UG)” has been carefully prepared to serve as a 30 practice sets /Solved Papers for those aspirants who are preparing for Common University Entrance Test (under-graduate) conducted by NTA (National Testing Agency). -This book contains 30 Practice sets and Latest Solved Papers with explanation. -The subjects are arranged exactly as per the latest syllabus and pattern, to make it 100% convenient for the candidates. -This book gives you an idea of the questions asked in previous years' exams, and also what type of questions you should expect in the upcoming exam. Topics to be covered Physics Chemistry Biology Mathematics Hindi English Highlights of the book Under-graduate (computer based test) Covered Class 12th NCERT Syllabus. Answers with explanations are available for all questions Based on latest syllabus and exam pattern |
| biology words that start with x: Molecular & Cell Biology For Dummies Rene Fester Kratz, 2020-06-16 Your insider guide to the stuff of life 3.8 billion years old and counting, there’s more than a little to know about the fundamentals of how life works. This friendly guide takes you from the primordial soup to the present, explaining how specialized cells have given rise to everything living, from the humblest amoeba to walking, talking human beings. Whether you’re enrolled in a cell or molecular biology course and need a straightforward overview, or are just curious about the latest advances, this fully updated edition is your all-access ticket to our inner world. Molecular & Cell Biology For Dummies decodes jargon and theories that can tax even the most devoted student. It covers everything from basic principles to how new technology, genetic testing, and microarray techniques are opening up new possibilities for research and careers. It also includes invaluable tips on how to prepare for—and ace—your exams! Explore the structure and function of the cells—and find out why cellular context is crucial to the study of disease Discover how molecular biology can solve world problems Understand how DNA determines traits and is regulated by cells Enhance your knowledge and results with online resources and study tips From microscopic details to macro concepts, this book has something for you. |
| biology words that start with x: Stochastic Models in Biology Narendra S. Goel, Nira Richter-Dyn, 2013-10-22 Stochastic Models in Biology describes the usefulness of the theory of stochastic process in studying biological phenomena. The book describes analysis of biological systems and experiments though probabilistic models rather than deterministic methods. The text reviews the mathematical analyses for modeling different biological systems such as the random processes continuous in time and discrete in state space. The book also discusses population growth and extinction through Malthus' law and the work of MacArthur and Wilson. The text then explains the dynamics of a population of interacting species. The book also addresses population genetics under systematic evolutionary pressures known as deterministic equations and genetic changes in a finite population known as stochastic equations. The text then turns to stochastic modeling of biological systems at the molecular level, particularly the kinetics of biochemical reactions. The book also presents various useful equations such as the differential equation for generating functions for birth and death processes. The text can prove valuable for biochemists, cellular biologists, and researchers in the medical and chemical field who are tasked to perform data analysis. |
| biology words that start with x: Computational Methods in Molecular Biology S.L. Salzberg, D.B. Searls, S. Kasif, 1998-06-19 Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities. This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms. The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book. A secondary audience will be computer scientists developing techniques with applications in biology. An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology. |
| biology words that start with x: Systems Biology Modelling and Analysis Elisabetta De Maria, 2022-11-18 Systems Biology Modelling and Analysis Describes important modelling and computational methods for systems biology research to enable practitioners to select and use the most suitable technique Systems Biology Modelling and Analysis provides an overview of state-of-the-art techniques and introduces related tools and practices to formalize models and automate reasoning for systems biology. The authors present and compare the main formal methods used in systems biology for modelling biological networks, including discussion of their advantages, drawbacks, and main applications. Each chapter includes an intuitive presentation of the specific formalism, a brief history of the formalism and of its applications in systems biology, a formal description of the formalism and its variants, at least one realistic case study, some applications of formal techniques to validate and make deep analysis of models encoded with the formalism, and a discussion on the kind of biological systems for which the formalism is suited, along with concrete ideas on its possible evolution. Edited by a highly qualified expert with significant experience in the field, some of the methods and techniques covered in Systems Biology Modelling and Analysis include: Petri nets, an important tool for studying different aspects of biological systems, ranging from simple signaling pathways to metabolic networks and beyond Pathway Logic, a formal, rule-based system and interactive viewer for developing executable models of cellular processes Boolean networks, a mathematical model which has been widely used for decades in the context of biological regulation networks Answer Set Programming (ASP), which has proven to be a strong logic programming paradigm to deal with the inherent complexity of biological models For systems biologists, biochemists, bioinformaticians, molecular biologists, pharmacologists, and computer scientists, Systems Biology Modelling and Analysis is a comprehensive all-in-one resource to understand and harness the field’s current models and techniques while also preparing for their potential developments in coming years with the help of the author’s expert insight. |
| biology words that start with x: Computational Systems Biology Andres Kriete, Roland Eils, 2013-11-26 This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling. - Logical information flow aids understanding of basic building blocks of life through disease phenotypes - Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns - Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation - Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function. |
| biology words that start with x: The Character Concept in Evolutionary Biology Günter P. Wagner, 2000-10-31 Almost all evolutionary biologists, indeed all biologists, use particular features to study life. These characteristics or features used by evolutionary biologists are used in a particular way to unravel a tangled evolutionary history, document the rate of evolutionary change, or as evidence of biodiversity. Characters are the data of evolutionary biology and they can be employed differently in research providing both opportunities and limitations. The Character Concept in Evolutionary Biology is about characters, their use, how different sorts of characters are limited, and what are appropriate methods for character analysis. Leading evolutionary biologists from around the world are contributors to this authoritative review of the character concept. Because characters and the conception of characters are central to all studies of evolution, and because evolution is the central organizing principle of biology, this book will appeal to a wide cross-section of biologists. - Focuses upon characters -- fundamental data for evolutionary biology - Covers the myriad ways in which characters are defined, described, and distinguished - Includes historical, morphological, molecular, behavioral, and philosophical perspectives |
| biology words that start with x: Analyzing Network Data in Biology and Medicine Nataša Pržulj, 2019-03-28 Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples. |
| biology words that start with x: Creating a Physical Biology Phillip R. Sloan, Brandon Fogel, 2011-12-15 Despite its historical impact on the biological sciences, the paper entitled 'On the Nature of Gene Mutation and Gene Structure' has remained largely inaccessible because it was only published in a short-lived German periodical. This book makes the 'Three Man' Paper available in English for the first time. |
| biology words that start with x: Mathematical Models in Biology Leah Edelstein-Keshet, 1988-01-01 Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. A favorite in the mathematical biology community, it shows how relatively simple mathematics can be applied to a variety of models to draw interesting conclusions. Connections are made between diverse biological examples linked by common mathematical themes. A variety of discrete and continuous ordinary and partial differential equation models are explored. Although great advances have taken place in many of the topics covered, the simple lessons contained in this book are still important and informative. Audience: the book does not assume too much background knowledge--essentially some calculus and high-school algebra. It was originally written with third- and fourth-year undergraduate mathematical-biology majors in mind; however, it was picked up by beginning graduate students as well as researchers in math (and some in biology) who wanted to learn about this field. |
| biology words that start with x: Mathematical Modeling of Complex Biological Systems Abdelghani Bellouquid, Marcello Delitala, 2006-08-17 This book describes the evolution of several socio-biological systems using mathematical kinetic theory. Specifically, it deals with modeling and simulations of biological systems whose dynamics follow the rules of mechanics as well as rules governed by their own ability to organize movement and biological functions. It proposes a new biological model focused on the analysis of competition between cells of an aggressive host and cells of a corresponding immune system. Proposed models are related to the generalized Boltzmann equation. The book may be used for advanced graduate courses and seminars in biological systems modeling. |
| biology words that start with x: Objective NCERT Xtract Biology for NEET 6th Edition Disha Experts, |
| biology words that start with x: Modeling in Systems Biology Ina Koch, Wolfgang Reisig, Falk Schreiber, 2010-10-21 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. |
| biology words that start with x: Structural Biology in Drug Discovery Jean-Paul Renaud, 2020-01-27 With the most comprehensive and up-to-date overview of structure-based drug discovery covering both experimental and computational approaches, Structural Biology in Drug Discovery: Methods, Techniques, and Practices describes principles, methods, applications, and emerging paradigms of structural biology as a tool for more efficient drug development. Coverage includes successful examples, academic and industry insights, novel concepts, and advances in a rapidly evolving field. The combined chapters, by authors writing from the frontlines of structural biology and drug discovery, give readers a valuable reference and resource that: Presents the benefits, limitations, and potentiality of major techniques in the field such as X-ray crystallography, NMR, neutron crystallography, cryo-EM, mass spectrometry and other biophysical techniques, and computational structural biology Includes detailed chapters on druggability, allostery, complementary use of thermodynamic and kinetic information, and powerful approaches such as structural chemogenomics and fragment-based drug design Emphasizes the need for the in-depth biophysical characterization of protein targets as well as of therapeutic proteins, and for a thorough quality assessment of experimental structures Illustrates advances in the field of established therapeutic targets like kinases, serine proteinases, GPCRs, and epigenetic proteins, and of more challenging ones like protein-protein interactions and intrinsically disordered proteins |
| biology words that start with x: Introduction to Biological Data Analysis in Python Stilianos Louca, 2023-03-17 This book introduces computational data analysis in biology, using the free and popular programming language python 3. The book targets undergraduate and graduate students in biology with an interest in computational techniques, but could also be of interest to students in other scientific disciplines such as biochemistry, environmental sciences and physics. No prior programming experience is required -- this book is intended for the motivated novice! Readers will learn to load and analyze data and produce professional visualizations. The mathematical content is kept to a bare minimum. Examples and exercises are drawn from a wide spectrum across biology, such as epidemiology, ecology, conservation biology, neuroscience, evolution, genetics, genomics and microbiology. Many exercises use realistic datasets published in the scientific literature, such as bacterial genome sequences, animal GPS tracking data, population time series and biodiversity inventories. References to the scientific literature are provided throughout. |
| biology words that start with x: Algebraic Statistics for Computational Biology L. Pachter, B. Sturmfels, 2005-08-22 This book, first published in 2005, offers an introduction to the application of algebraic statistics to computational biology. |
| biology words that start with x: Stochastic Processes in Cell Biology Paul C. Bressloff, 2022-01-10 This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. In the second edition the material has been significantly expanded, particularly within the context of nonequilibrium and self-organizing systems. Given the amount of additional material, the book has been divided into two volumes, with volume I mainly covering molecular processes and volume II focusing on cellular processes. A wide range of biological topics are covered in the new edition, including stochastic ion channels and excitable systems, molecular motors, stochastic gene networks, genetic switches and oscillators, epigenetics, normal and anomalous diffusion in complex cellular environments, stochastically-gated diffusion, active intracellular transport, signal transduction, cell sensing, bacterial chemotaxis, intracellular pattern formation, cell polarization, cell mechanics, biological polymers and membranes, nuclear structure and dynamics, biological condensates, molecular aggregation and nucleation, cellular length control, cell mitosis, cell motility, cell adhesion, cytoneme-based morphogenesis, bacterial growth, and quorum sensing. The book also provides a pedagogical introduction to the theory of stochastic and nonequilibrium processes – Fokker Planck equations, stochastic differential equations, stochastic calculus, master equations and jump Markov processes, birth-death processes, Poisson processes, first passage time problems, stochastic hybrid systems, queuing and renewal theory, narrow capture and escape, extreme statistics, search processes and stochastic resetting, exclusion processes, WKB methods, large deviation theory, path integrals, martingales and branching processes, numerical methods, linear response theory, phase separation, fluctuation-dissipation theorems, age-structured models, and statistical field theory. This text is primarily aimed at graduate students and researchers working in mathematical biology, statistical and biological physicists, and applied mathematicians interested in stochastic modeling. Applied probabilists should also find it of interest. It provides significant background material in applied mathematics and statistical physics, and introduces concepts in stochastic and nonequilibrium processes via motivating biological applications. The book is highly illustrated and contains a large number of examples and exercises that further develop the models and ideas in the body of the text. It is based on a course that the author has taught at the University of Utah for many years. |
| biology words that start with x: Biological Radiation Effects Jürgen Kiefer, 2012-12-06 The biological action of radiation undoubtedly constitutes an issue of actual con cern, particularly after incidences like those in Harrisburg or Chernobyl. These considerations, however, were not the reason for writing this book although it is hoped that it will also be helpful in this respect. The interaction of radiation with biological systems is such an interesting research objective that to my mind no special justification is needed to pursue these problems. The combination of physics, chemistry and biology presents on one hand a fascinating challenge to the student, on the other, it may lead to insights which are not possible if the dif ferent subjects remain clearly separated. Special problems of radiation biology have quite often led to new approaches in physics (or vice versa), a recent example is microdosimetry (chapter 4). Biological radiation a9tion comprises all levels of biological organization. It starts with the absorption in essential atoms and molecules and ends with the development of cancer and genetic hazards to future generations. The structure of the book reflects this. Beginning with physical and chemical fundamentals, it then turns to a description of chemical and subcellular systems. Cellular effects form a large part since they are the basis for understanding all further responses. Reactions of the whole organism, concentrating on mammals and especially humans, are subsequently treated. The book concludes with a short discussion of problems in radiation protection and the application of radiation in medical therapy. These last points are necessarily short and somewhat superficial. |
| biology words that start with x: Stochastic Modelling for Systems Biology, Third Edition Darren J. Wilkinson, 2018-12-07 Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of likelihood-free methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book. New in the Third Edition New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d, along with fast approximations based on the spatial chemical Langevin equation Significantly expanded chapter on inference for stochastic kinetic models from data, covering ABC, including ABC-SMC Updated R package, including code relating to all of the new material New R package for parsing SBML models into simulatable stochastic Petri net models New open-source software library, written in Scala, replicating most of the functionality of the R packages in a fast, compiled, strongly typed, functional language Keeping with the spirit of earlier editions, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling. |
| biology words that start with x: Library of Congress Subject Headings Library of Congress, Library of Congress. Subject Cataloging Division, 1975 |
| biology words that start with x: Sociobiology Edward O. Wilson, 2000 When this work was first published it started a tumultuous round in the age-old nature versus nurture debate. It shows how research in human genetics and neuroscience has strengthened the case for biological understanding of human nature. |
| biology words that start with x: Applications of Computational Intelligence in Biology Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul-Ella Hassanien, 2008-06-10 Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open problems in biology that are in d- perate need of advanced and e cient computational methodologies to deal with tremendous amounts of data that those problems are plagued by. - fortunately, biology researchers are very often unaware of the abundance of computational techniques that they could put to use to help them analyze and understand the data underlying their research inquiries. On the other hand, computational intelligence practitioners are often unfamiliar with the part- ular problems that their new, state-of-the-art algorithms could be successfully applied for. The separation between the two worlds is partially caused by the use of di erent languages in these two spheres of science, but also by the relatively small number of publications devoted solely to the purpose of fac- itating the exchange of new computational algorithms and methodologies on one hand, and the needs of the biology realm on the other. The purpose of this book is to provide a medium for such an exchange of expertise and concerns. In order to achieve the goal, we have solicited cont- butions from both computational intelligence as well as biology researchers. |
| biology words that start with x: Modeling Differential Equations in Biology Clifford Henry Taubes, 2008-01-17 Based on a very successful one-semester course taught at Harvard, this text teaches students in the life sciences how to use differential equations to help their research. It needs only a semester's background in calculus. Ideas from linear algebra and partial differential equations that are most useful to the life sciences are introduced as needed, and in the context of life science applications, are drawn from real, published papers. It also teaches students how to recognize when differential equations can help focus research. A course taught with this book can replace the standard course in multivariable calculus that is more usually suited to engineers and physicists. |
| biology words that start with x: Pattern Formation In Biology, Vision And Dynamics Alessandra Carbone, Misha Gromov, Przemyslaw Prusinkiewicz, 2000-04-11 Half a billion years of evolution have turned the eye into an unbelievable pattern detector. Everything we perceive comes in delightful multicolored forms. Now, in the age of science, we want to comprehend what and why we see.Two dozen outstanding biologists, chemists, physicists, psychologists, computer scientists and mathematicians met at the Institut d'Hautes Etudes Scientifiques in Bures-sur-Yvette, France. They expounded their views on the physical, biological and physiological mechanisms creating the tapestry of patterns we see in molecules, plants, insects, seashells, and even the human brain. This volume comprises surveys of different aspects of pattern formation and recognition, and is aimed at the scientifically minded reader. |
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Oct 27, 2009 · I have been studying Biology by correspondence through Unilearn for the last couple of months. I have completed my required 10 modules so getting ready to sit the exam. …
Definition of a solution - Biology Forum
Jan 28, 2007 · In my introductory biology class, we are learning about how water creates aqueous solutions. I am not sure about the definition of a solution, however. Does a solution mean that …
DNA 3' end & 5' end - Biology Forum
Jul 19, 2011 · I can't quite grasp the "ends" of DNA. When we say "3' end", does it mean that we can only add the nucleotides to the 5's, and not the 3's?
WHAT A BIOLOGY? - Biology Forum
Dec 3, 2006 · Biology is the study of living things… In this we study about the structure , function , interactions, of living organisms…It is a vast field divided into many branches. December 3, …
Evolution - Biology Forum
Dec 20, 2007 · Evolution does'nt makes sense to me. According to Darwin, humans have evolved from apes. I want to know why some apes evolved into humans, why not all evolved?
what is depolymerisation - Biology Forum
Jul 23, 2006 · I think depolymerisation is the removal of the monomers, in this case the removal of the monomers of microtubules.
Topics Archive - Biology Forum
360 Wiki Writers. General Discussion. 2; 2
Imperfect Design - Biology Forum
Aug 28, 2007 · Imperfect Design Darwin’s theory of Evolution explains how living things adapt to changing environments over time so as to survive and procreate the species.
Meniscus? - Biology Forum
Apr 21, 2006 · My biology teacher gave us instructions on how to set up a potometer. According to him the way to measure the rate of transpiration is to measure the distance moved by the …
What is the String Theory? - Biology Forum
Feb 15, 2006 · The string theory is a notion of cuantum physics that tries to explain how is it that our space and time can expand and contract influenced by the energy of everything…
