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| biology and computer science degree: Bioinformatics for Geneticists Michael R. Barnes, Ian C. Gray, 2003-07-01 This timely book illustrates the value of bioinformatics, not simply as a set of tools but rather as a science increasingly essential to navigate and manage the host of information generated by genomics and the availability of completely sequenced genomes. Bioinformatics can be used at all stages of genetics research: to improve study design, to assist in candidate gene identification, to aid data interpretation and management and to shed light on the molecular pathology of disease-causing mutations. Written specifically for geneticists, this book explains the relevance of bioinformatics showing how it may be used to enhance genetic data mining and markedly improve genetic analysis. |
| biology and computer science degree: Biocomputing Panos M. Pardalos, J.C. Principe, 2013-12-01 In the quest to understand and model the healthy or sick human body, re searchers and medical doctors are utilizing more and more quantitative tools and techniques. This trend is pushing the envelope of a new field we call Biomedical Computing, as an exciting frontier among signal processing, pattern recognition, optimization, nonlinear dynamics, computer science and biology, chemistry and medicine. A conference on Biocomputing was held during February 25-27, 2001 at the University of Florida. The conference was sponsored by the Center for Applied Optimization, the Computational Neuroengineering Center, the Biomedical En gineering Program (through a Whitaker Foundation grant), the Brain Institute, the School of Engineering, and the University of Florida Research & Graduate Programs. The conference provided a forum for researchers to discuss and present new directions in Biocomputing. The well-attended three days event was highlighted by the presence of top researchers in the field who presented their work in Biocomputing. This volume contains a selective collection of ref ereed papers based on talks presented at this conference. You will find seminal contributions in genomics, global optimization, computational neuroscience, FMRI, brain dynamics, epileptic seizure prediction and cancer diagnostics. We would like to take the opportunity to thank the sponsors, the authors of the papers, the anonymous referees, and Kluwer Academic Publishers for making the conference successful and the publication of this volume possible. Panos M. Pardalos and Jose C. |
| biology and computer science degree: Physics & Chemistry Crac, 2007-05-01 Popular among university applicants and their advisers alike, these guides present a wide range of information on a specific degree discipline, laid out in tabular format enabling at-a-glance course comparison. |
| biology and computer science degree: Catalyzing Inquiry at the Interface of Computing and Biology National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Frontiers at the Interface of Computing and Biology, 2006-01-01 Advances in computer science and technology and in biology over the last several years have opened up the possibility for computing to help answer fundamental questions in biology and for biology to help with new approaches to computing. Making the most of the research opportunities at the interface of computing and biology requires the active participation of people from both fields. While past attempts have been made in this direction, circumstances today appear to be much more favorable for progress. To help take advantage of these opportunities, this study was requested of the NRC by the National Science Foundation, the Department of Defense, the National Institutes of Health, and the Department of Energy. The report provides the basis for establishing cross-disciplinary collaboration between biology and computing including an analysis of potential impediments and strategies for overcoming them. The report also presents a wealth of examples that should encourage students in the biological sciences to look for ways to enable them to be more effective users of computing in their studies. |
| biology and computer science degree: BIO2010 National Research Council, Division on Earth and Life Studies, Board on Life Sciences, Committee on Undergraduate Biology Education to Prepare Research Scientists for the 21st Century, 2003-02-13 Biological sciences have been revolutionized, not only in the way research is conductedâ€with the introduction of techniques such as recombinant DNA and digital technologyâ€but also in how research findings are communicated among professionals and to the public. Yet, the undergraduate programs that train biology researchers remain much the same as they were before these fundamental changes came on the scene. This new volume provides a blueprint for bringing undergraduate biology education up to the speed of today's research fast track. It includes recommendations for teaching the next generation of life science investigators, through: Building a strong interdisciplinary curriculum that includes physical science, information technology, and mathematics. Eliminating the administrative and financial barriers to cross-departmental collaboration. Evaluating the impact of medical college admissions testing on undergraduate biology education. Creating early opportunities for independent research. Designing meaningful laboratory experiences into the curriculum. The committee presents a dozen brief case studies of exemplary programs at leading institutions and lists many resources for biology educators. This volume will be important to biology faculty, administrators, practitioners, professional societies, research and education funders, and the biotechnology industry. |
| biology and computer science degree: Java(tm)2: A Beginner's Guide Herbert Schildt, 2002-12-16 Bestselling author and programming guru Herb Schildt brings you Java 2 essentials in this newly updated introductory guide. Covering the latest I/O classes and features, this book teaches you Java 2 fundamentals through hands-on projects, end-of-module reviews, annotated code samples, and Q&A sections. |
| biology and computer science degree: What Every Science Student Should Know Justin L. Bauer, Yoo Jung Kim, Andrew H. Zureick, Daniel K. Lee, 2016-05-06 In 2012, the White House put out a call to increase the number of STEM graduates by one million. Since then, hundreds of thousands of science students have started down the path toward a STEM career. Yet, of these budding scientists, more than half of all college students planning to study science or medicine leave the field during their academic careers. This guide is the perfect personal mentor for any aspiring scientist. Like an experienced lab partner or frank advisor, the book points out the pitfalls while providing encouragement. Chapters cover the entire college experience, including choosing a major, mastering study skills, doing scientific research, finding a job, and, most important, how to foster and keep a love of science. |
| biology and computer science degree: Adventures in Computer Science Vicente Moret-Bonillo, 2017-11-23 The main focus of this textbook is the basic unit of information and the way in which our understanding of this has evolved over time. In particular the author covers concepts related to information, classical computing, logic, reversible computing, quantum mechanics, quantum computing, thermodynamics and some artificial intelligence and biology, all approached from the viewpoint of computer sciences. The book begins by asking the following nontrivial question: what is a bit? The author then discusses logic, logic gates, reversible computing and reversible architectures, and the concept of disorder. He then tries to establish the relationship between three essential questions that justify quantum approaches in computer sciences: the energy required to perform a real-life computation, the size of current processors, and the reversibility of quantum operations. Based on these concepts, the author establishes the conditions that justify the use of quantum techniques for certain kinds of computational tasks, and he uses formal descriptions and formal argumentations to introduce key quantum mechanical concepts and approaches. The rest of the book is formally different, focusing on practical issues, including a discussion of remarkable quantum algorithms in a treatment based on quantum circuit theory. The book is valuable for graduate students in computer science, and students of other disciplines who are engaged with physical models of information and computing. |
| biology and computer science degree: Current Topics in Computational Molecular Biology Tao Jiang, Ying Xu, Michael Q. Zhang, 2002 A survey of current topics in computational molecular biology. Computational molecular biology, or bioinformatics, draws on the disciplines of biology, mathematics, statistics, physics, chemistry, computer science, and engineering. It provides the computational support for functional genomics, which links the behavior of cells, organisms, and populations to the information encoded in the genomes, as well as for structural genomics. At the heart of all large-scale and high-throughput biotechnologies, it has a growing impact on health and medicine. This survey of computational molecular biology covers traditional topics such as protein structure modeling and sequence alignment, and more recent ones such as expression data analysis and comparative genomics. It combines algorithmic, statistical, database, and AI-based methods for studying biological problems. The book also contains an introductory chapter, as well as one on general statistical modeling and computational techniques in molecular biology. Each chapter presents a self-contained review of a specific subject. Not for sale in China, including Hong Kong. |
| biology and computer science degree: Intended Evolution Dongxun Zhang, Bob Zhang, 2015-05-05 Discover a new outlook on the process of life—and improve your health as a result In Intended Evolution, authors Dongxun and Bob Zhang introduce a different perspective on the theory of evolution: Life is not only selected by nature but intentionally interacts with it, learning how to better its future. They explain that applying this idea to generally accepted principles of biology can have startling results in your ability to affect your own health—and even your evolution. According to the theory of intended evolution, organisms gather information through sensory experience and use that knowledge to effect change in themselves and their environments. The authors propose that organisms use this saved information to make choices projected to enhance their survival. It is through experience, choices, and action, within a given environment, that life changes itself from moment to moment and determines what changes are needed for future generations. Because of humans’ unique ability to understand how our own evolution functions, we can effect changes within ourselves to influence and enhance our health and fitness, even to lengthen our lifespan. |
| biology and computer science degree: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| biology and computer science degree: Oxford Textbook of Cancer Biology Francesco Pezzella, Mahvash Tavassoli, David Kerr, 2019-05-02 The study of the biology of tumours has grown to become markedly interdisciplinary, involving chemists, statisticians, epidemiologists, mathematicians, bioinformaticians, and computer scientists alongside biologists, geneticists, and clinicians. The Oxford Textbook of Cancer Biology brings together the most up-to-date developments from different branches of research into one coherent volume, providing a comprehensive and current account of this rapidly evolving field. Structured in eight sections, the book starts with a review of the development and biology of multi-cellular organisms, how they maintain a healthy homeostasis in an individual, and a description of the molecular basis of cancer development. The book then illustrates, as once cells become neoplastic, their signalling network is altered and pathological behaviour follows. It explores the changes that cancer cells can induce in nearby normal tissue, the new relationship established between them and the stroma, and the interaction between the immune system and tumour growth. The authors illustrate the contribution provided by high throughput techniques to map cancer at different levels, from genomic sequencing to cellular metabolic functions, and how information technology, with its vast amounts of data, is integrated with traditional cell biology to provide a global view of the disease. The effect of the different types of treatments on the biology of the neoplastic cells are explored to understand on the one side, why some treatments succeed, and on the other, how they can affect the biology of resistant and recurrent disease. The book concludes by summarizing what we know to date about cancer, and in what direction our understanding of cancer is moving. Edited by leading authorities in the field with an international team of contributors, this book is an essential resource for scholars and professionals working in the wide variety of sub-disciplines that make up today's cancer research and treatment community. It is written not only for consultation, but also for easy cover-to-cover reading. |
| biology and computer science degree: Where Mathematics, Computer Science, Linguistics and Biology Meet Carlos Martín-Vide, V. Mitrana, 2013-03-14 In the last years, it was observed an increasing interest of computer scientists in the structure of biological molecules and the way how they can be manipulated in vitro in order to define theoretical models of computation based on genetic engineering tools. Along the same lines, a parallel interest is growing regarding the process of evolution of living organisms. Much of the current data for genomes are expressed in the form of maps which are now becoming available and permit the study of the evolution of organisms at the scale of genome for the first time. On the other hand, there is an active trend nowadays throughout the field of computational biology toward abstracted, hierarchical views of biological sequences, which is very much in the spirit of computational linguistics. In the last decades, results and methods in the field of formal language theory that might be applied to the description of biological sequences were pointed out. |
| biology and computer science degree: Algebraic and Discrete Mathematical Methods for Modern Biology Raina Robeva, 2015-05-09 Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the modern biology skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. - Examines significant questions in modern biology and their mathematical treatments - Presents important mathematical concepts and tools in the context of essential biology - Features material of interest to students in both mathematics and biology - Presents chapters in modular format so coverage need not follow the Table of Contents - Introduces projects appropriate for undergraduate research - Utilizes freely accessible software for visualization, simulation, and analysis in modern biology - Requires no calculus as a prerequisite - Provides a complete Solutions Manual - Features a companion website with supplementary resources |
| biology and computer science degree: Practical Computing for Biologists Steven H.D. Haddock, Casey W. Dunn, 2011-04-22 Practical Computing for Biologists shows you how to use many freely available computing tools to work more powerfully and effectively. The book was born out of the authors' own experience in developing tools for their research and helping other biologists with their computational problems. Many of the techniques are relevant to molecular bioinformatics but the scope of the book is much broader, covering topics and techniques that are applicable to a range of scientific endeavours. Twenty-two chapters organized into six parts address the following topics (and more; see Contents): • Searching with regular expressions • The Unix command line • Python programming and debugging • Creating and editing graphics • Databases • Performing analyses on remote servers • Working with electronics While the main narrative focuses on Mac OS X, most of the concepts and examples apply to any operating system. Where there are differences for Windows and Linux users, parallel instructions are provided in the margin and in an appendix. The book is designed to be used as a self-guided resource for researchers, a companion book in a course, or as a primary textbook. Practical Computing for Biologists will free you from the most frustrating and time-consuming aspects of data processing so you can focus on the pleasures of scientific inquiry. |
| biology and computer science degree: Introduction to Genomics Arthur Lesk, 2012 This book covers the latest techniques that enable us to study the genome in detail, the book explores what the genome tells us about life at the level of the molecule, the cell, and the organism |
| biology and computer science degree: Developing Bioinformatics Computer Skills Cynthia Gibas, Per Jambeck, 2001 This practical, hands-on guide shows how to develop a structured approach to biological data and the tools needed to analyze it. It's aimed at scientists and students learning computational approaches to biological data, as well as experienced biology researchers starting to use computers to handle data. |
| biology and computer science degree: Internet Economics Lee W. McKnight, Joseph P. Bailey, 1998 The Internet has rapidly become an important element of the economic system. The lack of accepted metrics for economic analysis of Internet transactions is therefore increasingly problematic. This book, one of the first to bring together research on Internet engineering and economics, attempts to establish such metrics. The chapters, which developed out of a 1995 workshop held at MIT, include architectural models and analyses of Internet usage, as well as alternative pricing policies. The book is organized into six sections: 1) Introduction to Internet Economics, 2) The Economics of the Internet, 3) Interconnection and Multicast Economics, 4) Usage Sensitive Pricing, 5) Internet Commerce, and 6) Internet Economics and Policy. Contributors Loretta Anania, Joseph P. Bailey, Nevil Brownlee, David Carver, David Clark, David W. Crawford, Ketil Danielsen, Deborah Estrin, Branko Gerovac, David Gingold, Jiong Gong, Alok Gupta, Shai Herzog, Clark Johnson, Martyne M. Hallgren, Frank P. Kelly, Charlie Lai, Alan K. McAdams, Jeffrey K. MacKie-Mason, Lee W. McKnight, Gennady Medvinsky, Liam Murphy, John Murphy, B. Clifford Neuman, Jon M. Peha, Joseph Reagle, Mitrabarun Sarkar, Scott Shenker, Marvin A. Sirbu, Richard Jay Solomon, Padmanabhan Srinagesh, Dale O. Stahl, Hal R. Varian, Qiong Wang, Martin Weiss, Andrew B. Whinston |
| biology and computer science degree: Lewin's GENES X Benjamin Lewin, Jocelyn Krebs, Stephen T. Kilpatrick, Elliott S. Goldstein, 2011 Jacket. |
| biology and computer science degree: Bioinformatics and Systems Biology Frederick Marcus, 2008-07-22 Collaborative research in bioinformatics and systems biology is a key element of modern biology and health research. This book highlights and provides access to many of the methods, environments, results and resources involved, including integral laboratory data generation and experimentation and clinical activities. Collaborative projects embody a research paradigm that connects many of the top scientists, institutions, their resources and research worldwide, resulting in first-class contributions to bioinformatics and systems biology. Central themes include describing processes and results in collaborative research projects using computational biology and providing a guide for researchers to access them. The book is also a practical guide on how science is managed. It shows how collaborative researchers are putting results together in a way accessible to the entire biomedical community. |
| biology and computer science degree: British Qualifications Kogan Page, 2006 The field of professional, academic and vocational qualifications is ever-changing. The new edition of this highly successful and practical guide provides thorough information on all developments. Fully indexed, it includes details on all university awards and over 200 career fields, their professional and accrediting bodies, levels of membership and qualifications.It acts as an one-stop guide for careers advisors, students and parents, and will also enable human resource managers to verify the qualifications of potential employees. |
| biology and computer science degree: Algorithms in Bioinformatics Wing-Kin Sung, 2009-11-24 Thoroughly Describes Biological Applications, Computational Problems, and Various Algorithmic Solutions Developed from the author's own teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the bi |
| biology and computer science degree: Evolution Carl T. Bergstrom, Lee Alan Dugatkin, 2016-02-25 Evolution presents foundational concepts through a contemporary framework of population genetics and phylogenetics that is enriched by current research and stunning art. In every chapter, new critical thinking questions and expanded end-of-chapter problems emphasizing data interpretation reinforce the Second Edition’s focus on helping students think like evolutionary biologists. |
| biology and computer science degree: Advancing Artificial Intelligence through Biological Process Applications Porto Pazos, Ana B., Pazos Sierra, Alejandro, Bu¤o Buceta, Washington, 2008-07-31 As science continues to advance, researchers are continually gaining new insights into the way living beings behave and function, and into the composition of the smallest molecules. Most of these biological processes have been imitated by many scientific disciplines with the purpose of trying to solve different problems, one of which is artificial intelligence. Advancing Artificial Intelligence through Biological Process Applications presents recent advances in the study of certain biological processes related to information processing that are applied to artificial intelligence. Describing the benefits of recently discovered and existing techniques to adaptive artificial intelligence and biology, this book will be a highly valued addition to libraries in the neuroscience, molecular biology, and behavioral science spheres. |
| biology and computer science degree: Data Mining For Dummies Meta S. Brown, 2014-09-04 Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining. |
| biology and computer science degree: Artificial Intelligence and Molecular Biology Lawrence Hunter, 1993 These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book. Lawrence Hunter is Director of the Machine Learning Project at the National Library of Medicine, National Institutes of Health. |
| biology and computer science degree: Computational Systems Biology Paola Lecca, Angela Re, Adaoha Elizabeth Ihekwaba, Ivan Mura, Thanh-Phuong Nguyen, 2016-07-29 Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems. This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling. The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists. - Provides a unified presentation of network inference, analysis, and modeling - Explores the connection between math and systems biology, providing a framework to learn to analyze, infer, simulate, and modulate the behavior of complex biological systems - Includes chapters in modular format for learning the basics quickly and in the context of questions posed by systems biology - Offers a direct style and flexible formalism all through the exposition of mathematical concepts and biological applications |
| biology and computer science degree: Java Programming Ralph Bravaco, Shai Simonson, 2009-02-01 Java Programming, From The Ground Up, with its flexible organization, teaches Java in a way that is refreshing, fun, interesting and still has all the appropriate programming pieces for students to learn. The motivation behind this writing is to bring a logical, readable, entertaining approach to keep your students involved. Each chapter has a Bigger Picture section at the end of the chapter to provide a variety of interesting related topics in computer science. The writing style is conversational and not overly technical so it addresses programming concepts appropriately. Because of the flexibile organization of the text, it can be used for a one or two semester introductory Java programming class, as well as using Java as a second language. The text contains a large variety of carefully designed exercises that are more effective than the competition. |
| biology and computer science degree: Program Verification Timothy T.R. Colburn, J.H. Fetzer, R.L. Rankin, 2012-12-06 Among the most important problems confronting computer science is that of developing a paradigm appropriate to the discipline. Proponents of formal methods - such as John McCarthy, C.A.R. Hoare, and Edgar Dijkstra - have advanced the position that computing is a mathematical activity and that computer science should model itself after mathematics. Opponents of formal methods - by contrast, suggest that programming is the activity which is fundamental to computer science and that there are important differences that distinguish it from mathematics, which therefore cannot provide a suitable paradigm. Disagreement over the place of formal methods in computer science has recently arisen in the form of renewed interest in the nature and capacity of program verification as a method for establishing the reliability of software systems. A paper that appeared in Communications of the ACM entitled, `Program Verification: The Very Idea', by James H. Fetzer triggered an extended debate that has been discussed in several journals and that has endured for several years, engaging the interest of computer scientists (both theoretical and applied) and of other thinkers from a wide range of backgrounds who want to understand computer science as a domain of inquiry. The editors of this collection have brought together many of the most interesting and important studies that contribute to answering questions about the nature and the limits of computer science. These include early papers advocating the mathematical paradigm by McCarthy, Naur, R. Floyd, and Hoare (in Part I), others that elaborate the paradigm by Hoare, Meyer, Naur, and Scherlis and Scott (in Part II), challenges, limits and alternatives explored by C. Floyd, Smith, Blum, and Naur (in Part III), and recent work focusing on formal verification by DeMillo, Lipton, and Perlis, Fetzer, Cohn, and Colburn (in Part IV). It provides essential resources for further study. This volume will appeal to scientists, philosophers, and laypersons who want to understand the theoretical foundations of computer science and be appropriately positioned to evaluate the scope and limits of the discipline. |
| biology and computer science degree: Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances Lecca, Paola, 2011-12-31 The convergence of biology and computer science was initially motivated by the need to organize and process a growing number of biological observations resulting from rapid advances in experimental techniques. Today, however, close collaboration between biologists, biochemists, medical researchers, and computer scientists has also generated remarkable benefits for the field of computer science. Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances presents new techniques that have resulted from the application of computer science methods to the organization and interpretation of biological data. The book covers three subject areas: bioinformatics, computational biology, and computational systems biology. It focuses on recent, systemic approaches in computer science and mathematics that have been used to model, simulate, and more generally, experiment with biological phenomena at any scale. |
| biology and computer science degree: Daily Graphic Ransford Tetteh, 2010-02-08 |
| biology and computer science degree: Bioinformatics For Dummies Jean-Michel Claverie, Cedric Notredame, 2011-02-10 Were you always curious about biology but were afraid to sit through long hours of dense reading? Did you like the subject when you were in high school but had other plans after you graduated? Now you can explore the human genome and analyze DNA without ever leaving your desktop! Bioinformatics For Dummies is packed with valuable information that introduces you to this exciting new discipline. This easy-to-follow guide leads you step by step through every bioinformatics task that can be done over the Internet. Forget long equations, computer-geek gibberish, and installing bulky programs that slow down your computer. You’ll be amazed at all the things you can accomplish just by logging on and following these trusty directions. You get the tools you need to: Analyze all types of sequences Use all types of databases Work with DNA and protein sequences Conduct similarity searches Build a multiple sequence alignment Edit and publish alignments Visualize protein 3-D structures Construct phylogenetic trees This up-to-date second edition includes newly created and popular databases and Internet programs as well as multiple new genomes. It provides tips for using servers and places to seek resources to find out about what’s going on in the bioinformatics world. Bioinformatics For Dummies will show you how to get the most out of your PC and the right Web tools so you'll be searching databases and analyzing sequences like a pro! |
| biology and computer science degree: General Requirements Bulletin for Admission to the Examination for Registration to Practice in Patent Cases Before the U.S. Patent and Trademark Office United States. Patent and Trademark Office, 2001 |
| biology and computer science degree: Introduction to Bioinformatics Arthur M. Lesk, 2019 Lesk provides an accessible and thorough introduction to a subject which is becoming a fundamental part of biological science today. The text generates an understanding of the biological background of bioinformatics. |
| biology and computer science degree: Bioinformatics Algorithms Phillip Compeau, Pavel Pevzner, 1986-06 Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed online course (http://coursera.org/course/bioinformatics), this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of biology and computer science students alike.Each chapter begins with a central biological question, such as Are There Fragile Regions in the Human Genome? or Which DNA Patterns Play the Role of Molecular Clocks? and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on Rosalind (http://rosalind.info), an online platform for learning bioinformatics.The textbook website (http://bioinformaticsalgorithms.org) directs readers toward additional educational materials, including video lectures and PowerPoint slides. |
| biology and computer science degree: New Developments in Pathways Towards Diversity and Inclusion in STEM: A United States Perspective Alexander Gates, Juan Gilbert, Chris Botanga, Kim Nguyen, Bonita London, 2022-10-17 The Louis Stokes Alliances for Minority Participation (LSAMP) program of the US National Science Foundation has been a primary force for raising the success and graduation of minority students in STEM for 30 years. Increasing the number of underrepresented students earning baccalaureate degrees, and entering graduate school in STEM is the goal of LSAMP. This goal has been nearly achieved through the formation of alliances of degree granting institutions of higher learning, varying from community colleges to major research institutions. Currently there are 59 alliances including more than 400 institutions. LSAMP is responsible for more than 650,000 bachelor’s degrees earned by minority students in STEM. The papers for this Research Topic should focus on the use of LSAMP activities, programs and collaborations to develop pathways to success and graduation of STEM majors from minority groups that underrepresented in STEM. These pathways can include any segment from pre-college through graduate school. Areas of special interest include mentoring, research experiences, transitions between levels and novel approaches for retention. The studies should be research based and rigorous. They can be pure research studies, curriculum and design or literature reviews but they must be at a cutting edge level and be subject to detailed review and assessment. |
| biology and computer science degree: White Awareness Judy H. Katz, 1978 Stage 1. |
| biology and computer science degree: Encyclopedia of Bioinformatics and Computational Biology , 2018-08-21 Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases |
| biology and computer science degree: General Requirements Bulletin For Admission To The Examination For Registration To Practice In Patent Cases Before The United States Patent And Trademark Office, Exam Date: April 17, 2002 , 2001 |
| biology and computer science degree: College Admissions Data Sourcebook Midwest Edition Bound 2010-11 , 2010-09 |
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An undergraduate degree in Computer Science is good preparation for many reasons. First of all, a . Computer Science degree teaches you to think logically and work cooperatively. These are …
CURRICULAR OFFERINGS - West Visayas State University
a. Biology b. Mathematics c. Physical Science G. College of Information & Communications Technology Baccalaureate Programs 1. Bachelor of Library and Information Science 2. …
Bachelor of Science Degree: Medical Biology - Florida …
Feb 24, 2020 · The Bachelor of Science (B.S.) degree in Medical Biology program provides undergraduate preparation for students interested in pursuing professional degrees in …
Computer Science and Biology, BS - Northeastern University …
The computer science and biology combined major reflects how research in biology, especially genetics, has become a computational science. The program provides a strong foundation in …
from: Computer Science - University of Texas at Austin
Jun 5, 2025 · Enrollment in Computer Science 312 , 311 or 311H, and 314 or 314H is restricted to computer science entry-level majors. All other computer science courses that may be counted …
Program Change Request - coscc.science.gmu.edu
Applicants should have a bachelor's degree in biology, computer science, or a related field, with a GPA of at least. 3.00 in their last 60 credits of study. Applicants should have taken courses in …
Fully Funded PhD Positions in Astronomy, Biology, Computer …
Fully Funded PhD Positions in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics …
Computer Science - The College of New Jersey
The Department of Computer Science offers the B.S. degree in Computer Science, the B.S. in Computer Science with a specialization in Data Science, and the Seven Year B.S./M.D. ...
We are excited about your interest in transferring to UTA!
The Department of Computer Science and Engineering offers three programs of study leading to the bachelor's degree: The Bachelor of Science in Computer Science, the Bachelor of Science …
Bioinformatics and Computational Biology, PhD - George …
Applicants should have a bachelor's degree in biology, computer science, or a related field from an institution of higher education accredited by a Mason-recognized U.S. institutional …
BSc General Degree Requirements - University of Alberta
BSc General Degree Requirements. The BSc General Degree consists of 120. At least 72 must be taken in courses offered by the Faculty of Science. At least 18 must be taken in courses …
Major, Minor and Emphasis Descriptions Degree Acronym …
Minor in Biology BIO Biology - BA/BS BA/BS BIO Biology-Animal Biology - BA/BS BA/BS BIO ANB Biology-Aquatic Sciences - BA/BS BA/BS BIO AQS Biology-Genetics and Cell/Molecular …
About Computer Science
problems inspired by biology) Computer science also plays an important role in many other *elds, including biology, physics, engineering, business, music, and ... reason about large amounts of …
CHANDIGARH UNIVERSITY CUET MAPPING
Degree Programme/ Course offered Domain/ General/ Optional Languages mapped to the Programmes offered in column C ... Chemistry 10+2 examination in Science Stream with …
STEM List 2012 - ICE
The STEM Designated Degree Program list is a complete list of fields of study that DHS considers to be science, technology, engineering or ... engineering, mathematics, computer science, or …
Requirements for the Bachelor of Science - OHSU
Science Coursework in biology, chemistry, computer science, engineering, environmental studies, geology, nutrition, physical geography, ... Requires previous completion of an Associate of …
Bachelor of Science in Biology -- University of Science and …
Bachelor of Science in Biology -- University of Science and Arts of Oklahoma ... 8 hours in Physics, 6 hours in Mathematics, 3 hours in Computer Science, 2 hours in Natural Science …
B.S. Degree in Computer Science Degree Planner 2022-2023 …
B.S. Degree in Computer Science Degree Planner 2022-2023 Catalog George Mason University The Volgenau School of Engineering 4300 Nguyen Engineering, 703-993-1530 ... Biology: …
Bioinformatics Management, MS
Applicants should have a bachelor's degree in biology, computer science, or a related field from an institution of higher education accredited by a Mason-recognized U.S. institutional …
Biology - Undergraduate Programs - University of Texas at …
The University requirement of competency in computer proficiency is satisfied by completion of the BIOL 1441 or 1442 labs. Oral communication competency can be demonstrated by …
A.S. Computer Science / B.S. Computer Science Pathway
BIO 101 General Biology I OR CHM 111 General Chemistry I OR PHY 241 ... PHY 160-161 GEOL 101/103 Major & Natural Science A.S. Computer Science ADVANCE Program Milestones …
Computer Science and Molecular Biology (Course 6-7P)
COMPUTER SCIENCE AND MOLECULAR BIOLOGY (COURSE 6-7P) COMPUTER SCIENCE AND MOLECULAR BIOLOGY (COURSE 6-7P) ... Biology The Master of Engineering degree …
Program Co-Directors
Applicants must hold an undergraduate degree from an accredited institution of higher learning exhibiting a strong background in mathematics. Normally, a B average (or equivalent) from an …
COMPUTER SCIENCE - Southwestern College
Associate in Science Transfer Preparation* (Major Code: 01185) Most careers in computer science require a bachelor’s degree, and some require a graduate-level degree. The …
Computer Science, B.S. - Saint Louis University
computer science with a master's degree in computer science, software engineering, artificial intelligence or bioinformatics and computational biology. Computer science is an exciting, …
OGISchool of Science & Engineering Catalog - OHSU
DEGREE PROGRAMS The OGI School of Science & Engineering offers Master of Science degrees and Ph.D. degrees in Biochemistry and Molecular Biology, Computer Science and …
OGI School of - OHSU
research in our traditional disciplines: biochemistry and molecular biology, computer science and engineering, electrical and computer engineering, environmental science and engineering, and …
Program of Bioinformatics and Computational Biology
will require coursework and practical experience in biology, mathematics, statistics, and computer science. The focus of the degree will be on learning to develop and use computational and …
FACULTY OF AGRICULTURE, - UNAM
g.10.1. 33bchm: bachelor of science in chemistry 132 g.10.1. extended enrolment 133 g.10.1.1. nsscas chemistry, nsscas physics/biology/computer science & nssco mathematics 133 …
DHS STEM Designated Degree Program List - ICE
11 11.0203 Computer Programming, Vendor/Product Certification. 11 11.0299 Computer Programming, Other. 11 11.0301 Data Processing and Data Processing Technology/ …
NAME OF UNIVERSITY / INSTITUTE: REVA UNIVERSITY, …
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Oklahoma City Community College - OCCC
Oklahoma City Community College GENERAL INFORMATION Alumni Association As a member of the Oklahoma City Community College Association of Alumni and Friends, you’ll share a …
School of Computer Science - Carnegie Mellon University
COMPUTER . SCIENCE. Carnegie Mellon University’s School of Computer Science is a community of students and faculty passionate about using technology to change the world. Our …
Bachelor of Science in Biology 2022 - 2023 Degree …
coursework for the degree. • BIOL 1710: Biology for Science Majors I (3hrs) • BIOL 1720: Biology for Science Majors II (3hrs) • BIOL 1760: University Core RequirementsBiology for Science …
University Grants Commission - Sri Lanka
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A.S. Computer Science / B.S. Computer Science Pathway
should select from the following for their computer science electives: MTH 265 (Calculus III), MTH 288 (Discrete Mathematics), MTH 266 (Linear Algebra), and CS 110 (Essentials of Computer …
Degree & Major Requirements - University of Winnipeg
DEGREE AND MAJOR REQUIREMENTS Updated March 14, 2025 1. Information and Advice 2. General Degree Requirements a. The Writing Requirement b. The Humanities Requirement c. …
Employment Outcomes of Bachelor’s Degree Holders
and literature (4.4. percent) and computer and information sciences (5.6 percent) were higher than the average unemployment rate for all bachelor’s degree holders. The unemployment …
FACULTY AGENDA ITEM 14 FA - washburn.edu
BS degree are limited to these courses: Chemistry 151 or above, Physics 261 or above, Mathematics 116 or above, Computer Science 110 or above. Proposed Catalog Language: The …
Computer Science Program Department of Electrical …
The program offers a traditional B.S. degree in computer science, a computer science minor option for non-engineering disciplines at Howard, a graduate certificate program in …
Faculty Handbook Degree Framework CFG0 and CFG1
the Faculty of Science are: Biology, Chemistry, Computer Science, Earth Sciences, Mathematics, Natural Sciences, Physics and Psychology. ... Candidates studying for the BSc Joint Honours …
Mātai Koiora Rorohiko Undergraduate Computational Biology
Computational Biology is studied as a specialisation in the Bachelor of Advanced Science (Honours) degree, or BAdvSci(Hons). As a Computational Biology student you’ll take a range …
Approved Undergraduate Majors and Minors - North …
College of Agriculture and Environmental Science Degree Major Code ... BS COMP Computer Science BS CPEN Computer Engineering ... BS BIOL Biology BSCE Biology Secondary …
DATA SCIENCE - docs.ccsu.edu
range of problems. Using advanced, cutting-edge data science methods and techniques, design and construct new processes for data exploration, modeling, and predicting future activity. • …
Biological Science - Faculty of Science
follow the three-year Bachelor of Science Degree Program (BSc General) under two study streams, viz. Physical Science (PS) and Biological Science (BS). ... Statistics and Computer …
Departmental Program Computer Science - MIT Department …
Computer Science and Molecular Biolog y (Course 6-7) ... Total GIR Subjects Required for SB Degree 17 Physical Education Requirement Swimming requirement, plus four physical …
BS BIOLOGY - General Program Requirements and Electives …
BS BIOLOGY - General Program Requirements and Electives for All Bio Majors ... Computer Lab in Psychopharmacology Lab in Psychobiology Biological Basis of Behavior 2 Neuropsychology …
