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Learning Basic Genetics With Interactive Computer Programs
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Book Synopsis Learning Basic Genetics with Interactive Computer Programs by : Charles C. Tseng
Download or read book Learning Basic Genetics with Interactive Computer Programs written by Charles C. Tseng and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditionally, genetics laboratory exercises at the university level focus on mono- and dihybrid crosses and phenotypic analysis—exercises under traditional time, materials, and process constraints. Lately, molecular techniques such as gene cloning, polymerase chain reactions (PCR), and bioinformatics are being included in many teaching laboratories—where affordable. Human chromosome analysis, when present at all, has often been restricted to simple identification of chromosomes by number, through the usual “cut-and-paste” method. Although several online karyotyping (chromosome identification) programs have become available, they are not meaningful for studying the dynamics of the chromosome system, nor do they help students understand genetics as a discipline. The software that accompanies this book has been shown to be an ideal tool for learning about genetics, which requires a combination of understanding, conceptualization, and practical experience.
Download or read book Crossover written by Jack E. Staub and published by Univ of Wisconsin Press. This book was released on 1994 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Crossover is a laboratory manual and computer program that work together to teach the principles of genetics. Designed to complement regular textbooks and classroom instruction, Crossover consists of thirty-five modules that can be tailored to fit genetics courses at several levels. Examples, interactive computer models, problems, and self-tests all help students understand difficult concepts and learn the basic mathematical skills needed to study contemporary theories of genetics, evolution, and breeding. The easy-to-use tutorial system lets students work at their own pace. Features include: - In-depth investigations of meiosis, genetic ratios, linkage mutation, natural selection, Hardy-Weinberg equilibrium, artificial selection, quantitative genetics, breeding methods, mating designs, plant patent law, and the use of molecular markers - A computer model that allows students to manipulate genetic parameters and compare outcomes. Students can observe evolution and artificial selection in action - A "Major Concepts" section at the beginning of each chapter to help students focus on the important material to be learned - A visual, easy-to-understand presentation of material - Exercises based on genetic data and analyses from actual research projects - Several stages of complexity within each area of instruction. - Instant grading of exercises - "Suggested Readings" at the end of each chapter to direct the student to related books, articles, and computer programs.
Book Synopsis An Introduction to Genetic Algorithms by : Melanie Mitchell
Download or read book An Introduction to Genetic Algorithms written by Melanie Mitchell and published by MIT Press. This book was released on 1998-03-02 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.
Book Synopsis Genetic Programming by : Wolfgang Banzhaf
Download or read book Genetic Programming written by Wolfgang Banzhaf and published by Springer Science & Business. This book was released on 1998 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: To order this title for shipment to Austria, Germany, or Switzerland, please contact dpunkt verlag directly. "[The authors] have performed a remarkable double service with this excellent book on genetic programming. First, they give an up-to-date view of the rapidly growing field of automatic creation of computer programs by means of evolution and, second, they bring together their own innovative and formidable work on evolution of assembly language machine code and linear genomes." --John R. Koza Since the early 1990s, genetic programming (GP)-a discipline whose goal is to enable the automatic generation of computer programs-has emerged as one of the most promising paradigms for fast, productive software development. GP combines biological metaphors gleaned from Darwin's theory of evolution with computer-science approaches drawn from the field of machine learning to create programs that are capable of adapting or recreating themselves for open-ended tasks. This unique introduction to GP provides a detailed overview of the subject and its antecedents, with extensive references to the published and online literature. In addition to explaining the fundamental theory and important algorithms, the text includes practical discussions covering a wealth of potential applications and real-world implementation techniques. Software professionals needing to understand and apply GP concepts will find this book an invaluable practical and theoretical guide.
Book Synopsis Genetic Programming by : Wolfgang Banzhaf
Download or read book Genetic Programming written by Wolfgang Banzhaf and published by Morgan Kaufmann. This book was released on 1998-01-01 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique introduction to GP provides a detailed overview of the subject and its antecedents with extensive references to the published and online literature. In addition to explaining the fundamental theory and important algorithms, the text includes practical discussions covering a wealth of potential applications and real-world implementation techniques. Software professionals needing to understand and apply GP concepts will find this book an invaluable practical and theoretical guide.
Download or read book Resources in Education written by and published by . This book was released on 1989-06 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multiple Representations in Biological Education by : David F. Treagust
Download or read book Multiple Representations in Biological Education written by David F. Treagust and published by Springer Science & Business Media. This book was released on 2013-02-01 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new publication in the Models and Modeling in Science Education series synthesizes a wealth of international research on using multiple representations in biology education and aims for a coherent framework in using them to improve higher-order learning. Addressing a major gap in the literature, the volume proposes a theoretical model for advancing biology educators’ notions of how multiple external representations (MERs) such as analogies, metaphors and visualizations can best be harnessed for improving teaching and learning in biology at all pedagogical levels. The content tackles the conceptual and linguistic difficulties of learning biology at each level—macro, micro, sub-micro, and symbolic, illustrating how MERs can be used in teaching across these levels and in various combinations, as well as in differing contexts and topic areas. The strategies outlined will help students’ reasoning and problem-solving skills, enhance their ability to construct mental models and internal representations, and, ultimately, will assist in increasing public understanding of biology-related issues, a key goal in today’s world of pressing concerns over societal problems about food, environment, energy, and health. The book concludes by highlighting important aspects of research in biological education in the post-genomic, information age.
Book Synopsis Cancer Genetics for the Clinician by : Gail L. Shaw
Download or read book Cancer Genetics for the Clinician written by Gail L. Shaw and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer genetics is a quickly growing field within oncology. The ability to identify individuals at high risk for cancer improves the chance of early prevention and detection of cancer. The results of genetic testing affect quality of life, employment, and ability to be insured. This volume will provide an overview of cancer genetics, inherited cancer susceptibility, and available services and testing, including both the risks and benefits of testing. Some of the topics covered include: genetics of breast and ovarian cancer, testing minors for inherited cancer risk, chemoprevention of heritable cancer risk, genetics of colorectal cancer, insurance issues in genetic testing for cancer, ethical and legal issues in genetic testing for cancer susceptibility, testing for breast cancer risk in the Ashkenazim, estimating individualized risk of breast cancer, genetic counseling for the individual with inherited cancer susceptibility, and components of a genetic cancer risk clinic. While heritable cancers account for between five and ten percent of all cancer cases, molecular alterations attributable to specific inherited cancer susceptibility may give us important clues into the mechanism by which cancer occurs, not only in predisposed individuals, but also for sporadic cases.
Download or read book Basic Genetics written by Hartl Daniel L and published by . This book was released on 1991 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Research on Science Education by : Sandra K. Abell
Download or read book Handbook of Research on Science Education written by Sandra K. Abell and published by Routledge. This book was released on 2013-03-07 with total page 1346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the art research Handbook provides a comprehensive, coherent, current synthesis of the empirical and theoretical research concerning teaching and learning in science and lays down a foundation upon which future research can be built. The contributors, all leading experts in their research areas, represent the international and gender diversity that exists in the science education research community. As a whole, the Handbook of Research on Science Education demonstrates that science education is alive and well and illustrates its vitality. It is an essential resource for the entire science education community, including veteran and emerging researchers, university faculty, graduate students, practitioners in the schools, and science education professionals outside of universities. The National Association for Research in Science Teaching (NARST) endorses the Handbook of Research on Science Education as an important and valuable synthesis of the current knowledge in the field of science education by leading individuals in the field. For more information on NARST, please visit: http://www.narst.org/.
Download or read book Research in Education written by and published by . This book was released on 1971 with total page 1138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Basic Genetics written by Daniel L. Hartl and published by . This book was released on 1991-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Gene Book by : Sarah Adelaide Crawford
Download or read book The Gene Book written by Sarah Adelaide Crawford and published by Cognella Academic Publishing. This book was released on 2018-06-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Gene Book: Explorations in the Code of Life is designed to introduce undergraduate college students to foundational concepts in genetics. The text provides in-depth coverage of the essential principles of genetics, from Mendel to molecular gene therapy, and reads like a story, guiding readers through each of these areas in an interesting, engaging, and enlightening way. Milestone scientific discoveries introduce conceptual topics in each of the 10 chapters. The significance of each genetics paradigm is reinforced by the meaningful research context in which it is placed, whether the focus is single gene inheritance of disorders such as PKU and cystic fibrosis, or more complex genetic phenomena. Chromosomes, cell division, and cytogenetic disorders, including Down Syndrome and leukemia, are presented in a riveting historical context. In addition, the principles of molecular genetics are a major focus of this book. Students learn about the double helix, DNA replication, gene expression, mutation, natural selection, genomics, and the tools of molecular DNA analysis. Approachable and effective, The Gene Book is a highly readable comprehensive text on genetics principles designed to highlight essential concepts that make up their very core. The text is well suited to undergraduate genetics courses and can also be used as a primer for more advanced undergraduate and graduate courses in medical or molecular genetics.
Book Synopsis Science Education at the Nexus of Theory and Practice by :
Download or read book Science Education at the Nexus of Theory and Practice written by and published by BRILL. This book was released on 2008-01-01 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of papers from the inaugural International Science Education Conference held at the National Institute of Education (Singapore). The title, Science Education at the Nexus of Theory and Practice, reflects a pressing yet ongoing concern worldwide to integrate theory and practice in science education and the reader will find something of interest to both science education practitioners and researchers.
Book Synopsis An Introduction to Genetic Analysis by : Anthony J.F. Griffiths
Download or read book An Introduction to Genetic Analysis written by Anthony J.F. Griffiths and published by Macmillan. This book was released on 2005 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: The eighth edition of 'An Introduction to Genetic Analysis' has been extensively revised, shaping its coverage to match current research and thinking in genetics.
Book Synopsis Computational Genomics with R by : Altuna Akalin
Download or read book Computational Genomics with R written by Altuna Akalin and published by CRC Press. This book was released on 2020-12-16 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.
Book Synopsis Labster Virtual Lab Experiments: Basic Genetics by : Sarah Stauffer
Download or read book Labster Virtual Lab Experiments: Basic Genetics written by Sarah Stauffer and published by Springer. This book was released on 2018-11-29 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook helps you to prepare for both your next exams and practical courses by combining theory with virtual lab simulations. With the “Labster Virtual Lab Experiments” book series you have the unique opportunity to apply your newly acquired knowledge in an interactive learning game that simulates common laboratory experiments. Try out different techniques and work with machines that you otherwise wouldn’t have access to. In this volume on “Basic Genetics” you will learn how to work in a laboratory with genetic background and the fundamental theoretical concepts of the following topics: Mendelian Inheritance Polymerase Chain Reaction Animal Genetics Gene Expression Gene Regulation In each chapter, you will be introduced to the basic knowledge as well as one virtual lab simulation with a true-to-life challenge. Following a theory section, you will be able to play the corresponding simulation. Each simulation includes quiz questions to reinforce your understanding of the covered topics. 3D animations will show you molecular processes not otherwise visible to the human eye. If you have purchased a printed copy of this book, you get free access to five simulations for the duration of six months. If you’re using the e-book version, you can sign up and buy access to the simulations at www.labster.com/springer. If you like this book, try out other topics in this series, including “Basic Biology”, “Basic Biochemistry”, and “Genetics of Human Diseases”. Please note that the simulations included in the book are not virtual reality (VR) but 2D virtual experiments.
