Writing in the Life Sciences

Writing in the Life Sciences PDF

Author: Laurence S. Greene

Publisher: Oxford University Press, USA

Published: 2010-01-01

Total Pages: 482

ISBN-13: 9780195170467

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Practicing scientists know that the quality of their livelihood is strongly connected to the quality of their writing, and critical thinking is the most necessary and valuable tool for effectively generating and communicating scientific information. Writing in the Life Sciences is an innovative, process-based text that gives beginning writers the tools to write about science skillfully by taking a critical thinking approach. Laurence Greene emphasizes "writing as thinking" as he takes beginning writers through the important stages of planning, drafting, and revising their work. Throughout, he uses focused and systematic critical reading and thinking activities to help scientific writers develop the skills to effectively communicate. Each chapter addresses a particular writing task rather than a specific type of document. The book makes clear which tasks are important for all writing projects (i.e., audience analysis, attending to instructions) and which are unique to a specific writing project (rhetorical goals for each type of document). Ideal for Scientific Writing courses and writing-intensive courses in various science departments (e.g., Biology, Environmental Studies, etc.), this innovative, process-based text goes beyond explaining what scientific writing is and gives students the tools to do it skillfully.

Dual Use Research of Concern in the Life Sciences

Dual Use Research of Concern in the Life Sciences PDF

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2017-10-01

Total Pages: 115

ISBN-13: 0309458889

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The potential misuse of advances in life sciences research is raising concerns about national security threats. Dual Use Research of Concern in the Life Sciences: Current Issues and Controversies examines the U.S. strategy for reducing biosecurity risks in life sciences research and considers mechanisms that would allow researchers to manage the dissemination of the results of research while mitigating the potential for harm to national security.

The Cambridge Handbook of Information Technology, Life Sciences and Human Rights

The Cambridge Handbook of Information Technology, Life Sciences and Human Rights PDF

Author: Marcello Ienca

Publisher: Cambridge University Press

Published: 2022-05-26

Total Pages: 862

ISBN-13: 1108809391

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Debates on the human-rights implications of new and emerging technologies have been hampered by the lack of a comprehensive theoretical framework for the complex issues involved. This volume provides that framework, bringing a multidisciplinary and international perspective to the evolution of human rights in the digital and biotechnological era. It delves into the latest frontiers of technological innovation in the life sciences and information technology sectors, such as neurotechnology, robotics, genetic engineering, and artificial intelligence. Leading experts from the technological, medical, and social sciences as well as law, philosophy, and business share their extensive knowledge about the transformation of the rights framework in response to technological innovation. In addition to providing a comprehensive, interdisciplinary, and international state-of-the art descriptive analysis, the volume also offers policy recommendations to protect and promote human rights in the context of emerging socio-technological trends.

Life Sciences, Information Sciences

Life Sciences, Information Sciences PDF

Author: Thierry Gaudin

Publisher: John Wiley & Sons

Published: 2018-03-15

Total Pages: 400

ISBN-13: 1119516587

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Developed from presentations given at the Cerisy SVSI (Sciences de la vie, sciences de l’information) conference held in 2016, this book presents a broad overview of thought and research at the intersection of life sciences and information sciences. The contributors to this edited volume explore life and information on an equal footing, with each considered as crucial to the other. In the first part of the book, the relation of life and information in the functioning of genes, at both the phylogenetic and ontogenetic levels, is articulated and the common understanding of DNA as code is problematized from a range of perspectives. The second part of the book homes in on the algorithmic nature of information, questioning the fit between life and automaton and the accompanying division between individualization and invariance. Consisting of both philosophical speculation and ethological research, the explorations in this book are a timely intervention into prevailing understandings of the relation between information and life.

Database Technology for Life Sciences and Medicine

Database Technology for Life Sciences and Medicine PDF

Author: Claudia Plant

Publisher: World Scientific

Published: 2010

Total Pages: 389

ISBN-13: 981430770X

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This book presents innovative approaches from database researchers supporting the challenging process of knowledge discovery in biomedicine. Ranging from how to effectively store and organize biomedical data via data quality and case studies to sophisticated data mining methods, this book provides the state-of-the-art of database technology for life sciences and medicine. A valuable source of information for experts in life sciences who want to be updated about the possibilities of database technology in their field, this volume will also be inspiring for students and researchers in informatics who are keen to contribute to this emerging field of interdisciplinary research.

Model Based Inference in the Life Sciences

Model Based Inference in the Life Sciences PDF

Author: David R. Anderson

Publisher: Springer Science & Business Media

Published: 2007-12-22

Total Pages: 203

ISBN-13: 0387740759

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This textbook introduces a science philosophy called "information theoretic" based on Kullback-Leibler information theory. It focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. The text is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals. Readers are however expected to have a background in general statistical principles, regression analysis, and some exposure to likelihood methods. This is not an elementary text as it assumes reasonable competence in modeling and parameter estimation.

Data Integration in the Life Sciences

Data Integration in the Life Sciences PDF

Author: Patrick Lambrix

Publisher: Springer

Published: 2010-08-11

Total Pages: 0

ISBN-13: 9783642151194

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The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organismsand diseases, which increasinglydepends on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources; once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison. The Data Integration in the Life Sciences (DILS) Conference series brings together data and knowledge management researchers from the computer s- ence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identi?ed in the life sciences. DILS 2010 was the seventh event in the series and was held in Goth- burg, Sweden during August 25–27, 2010. The associated proceedings contain 14 peer-reviewed papers and 2 invited papers. The sessions addressed ontology engineering, and in particular, evolution, matching and debugging of ontologies, akeycomponentforsemanticintegration;Web servicesasanimportanttechn- ogy for data integration in the life sciences; data and text mining techniques for discovering and recognizing biomedical entities and relationships between these entities; and information management, introducing data integration solutions for di?erent types of applications related to cancer, systems biology and - croarray experimental data, and an approach for integrating ranked data in the life sciences.

Planning a Career in Biomedical and Life Sciences

Planning a Career in Biomedical and Life Sciences PDF

Author: Avrum I. Gotlieb

Publisher: Academic Press

Published: 2014-12-08

Total Pages: 144

ISBN-13: 0128025700

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Planning a Career in Biomedical and Life Sciences presents useful information, insights, and tips to those pursuing a career in the biomedical and life sciences. The book focuses on making educated choices during schooling, training, and job searching in both the academic and non-academic sectors. The premise of Planning a Career in Biomedical and Life Sciences is that by understanding the full path of a career in either the biomedical or life science fields, you can proactively plan your career, recognize any opportunities that present themselves, and be well prepared to address important aspects of your own professional development. Topics include choosing your training path, selecting the best supervisor/mentor, and negotiating a job offer. Provides strategies on evaluating biomedical and life sciences education and professional development opportunities in a thorough and systematic fashion. Discusses possible pitfalls and offers insight into how to navigate them successfully at various points of a scientist’s career. Offers valuable advice on how to make the best choices for yourself at any stage in your career.

Handbook of Information Science

Handbook of Information Science PDF

Author: Wolfgang G. Stock

Publisher: Walter de Gruyter

Published: 2013-07-31

Total Pages: 912

ISBN-13: 3110235005

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Dealing with information is one of the vital skills in the 21st century. It takes a fair degree of information savvy to create, represent and supply information as well as to search for and retrieve relevant knowledge. How does information (documents, pieces of knowledge) have to be organized in order to be retrievable? What role does metadata play? What are search engines on the Web, or in corporate intranets, and how do they work? How must one deal with natural language processing and tools of knowledge organization, such as thesauri, classification systems, and ontologies? How useful is social tagging? How valuable are intellectually created abstracts and automatically prepared extracts? Which empirical methods allow for user research and which for the evaluation of information systems? This Handbook is a basic work of information science, providing a comprehensive overview of the current state of information retrieval and knowledge representation. It addresses readers from all professions and scientific disciplines, but particularly scholars, practitioners and students of Information Science, Library Science, Computer Science, Information Management, and Knowledge Management. This Handbook is a suitable reference work for Public and Academic Libraries.

Python for the Life Sciences

Python for the Life Sciences PDF

Author: Alexander Lancaster

Publisher: Apress

Published: 2019-09-27

Total Pages: 396

ISBN-13: 1484245237

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Treat yourself to a lively, intuitive, and easy-to-follow introduction to computer programming in Python. The book was written specifically for biologists with little or no prior experience of writing code - with the goal of giving them not only a foundation in Python programming, but also the confidence and inspiration to start using Python in their own research. Virtually all of the examples in the book are drawn from across a wide spectrum of life science research, from simple biochemical calculations and sequence analysis, to modeling the dynamic interactions of genes and proteins in cells, or the drift of genes in an evolving population. Best of all, Python for the Life Sciences shows you how to implement all of these projects in Python, one of the most popular programming languages for scientific computing. If you are a life scientist interested in learning Python to jump-start your research, this is the book for you. What You'll Learn Write Python scripts to automate your lab calculations Search for important motifs in genome sequences Use object-oriented programming with Python Study mining interaction network data for patterns Review dynamic modeling of biochemical switches Who This Book Is For Life scientists with little or no programming experience, including undergraduate and graduate students, postdoctoral researchers in academia and industry, medical professionals, and teachers/lecturers. “A comprehensive introduction to using Python for computational biology... A lovely book with humor and perspective” -- John Novembre, Associate Professor of Human Genetics, University of Chicago and MacArthur Fellow “Fun, entertaining, witty and darn useful. A magical portal to the big data revolution” -- Sandro Santagata, Assistant Professor in Pathology, Harvard Medical School “Alex and Gordon’s enthusiasm for Python is contagious” -- Glenys Thomson Professor of Integrative Biology, University of California, Berkeley