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| plos computational biology journal impact factor: ELexicography in the 21st Century : New Challenges, New Applications Sylviane Granger, 2010-06 The field of lexicography is undergoing a major revolution. The rapid replacement of the traditional paper dictionary by electronic dictionaries opens up exciting possibilities but also constitutes a major challenge to the field. The eLexicography in the 21st Century: New Challenges, New Applications conference organized by the Centre for English Corpus Linguistics of the Université catholique de Louvain in October 2009 aimed to bring together the many researchers around the world who are working in the fast developing field of electronic lexicography and to act as a showcase for the latest lexicographic developments and software solutions in the field. The conference attracted both academics and industrial partners from 30 different countries who presented electronic dictionary projects dealing with no less than 22 languages. The resulting proceedings volume bears witness to the tremendous vitality and diversity of research in the field. The volume covers a wide range span of topics, including: -the use of language resources for lexicographic purposes, in the form of lexical databases like WordNet or corpora of different types - innovative changes to the dictionary structure afforded by the electronic medium, in particular multiple access routes and efficient integration of phraseology -specialised dictionaries (e.g. SMS dictionaries, sign language dictionaries) -automated customisation of dictionaries in function of users' needs -exploitation of Natural Language Processing tools - integration of electronic dictionaries into language learning and teaching |
| plos computational biology journal impact factor: The Art and Politics of Science Harold Varmus, 2010-05-24 A Nobel Prize–winning cancer biologist, leader of major scientific institutions, and scientific adviser to President Obama reflects on his remarkable career. A PhD candidate in English literature at Harvard University, Harold Varmus discovered he was drawn instead to medicine and eventually found himself at the forefront of cancer research at the University of California, San Francisco. In this “timely memoir of a remarkable career” (American Scientist), Varmus considers a life’s work that thus far includes not only the groundbreaking research that won him a Nobel Prize but also six years as the director of the National Institutes of Health; his current position as the president of the Memorial Sloan-Kettering Cancer Center; and his important, continuing work as scientific adviser to President Obama. From this truly unique perspective, Varmus shares his experiences from the trenches of politicized battlegrounds ranging from budget fights to stem cell research, global health to science publishing. |
| plos computational biology journal impact factor: The Economics of Open Access Thomas Eger, Marc Scheufen, 2018-06-29 Addressing the recent debate on how the future of academic publishing might look in a purely digital environment, this book analyzes the experiences of researchers with, as well as attitudes towards, ‘Open Access’ (OA) publishing. Drawing on a unique, in-depth survey with more than 10,000 respondents from 25 countries, Thomas Eger and Marc Scheufen discuss their findings in the light of recent policy attempts which have been trying to foster OA, revealing considerable shortcomings and lack of knowledge on fundamental features of the academic publishing market. |
| plos computational biology journal impact factor: Multidimensional Journal Evaluation Stefanie Haustein, 2012-04-26 Scientific communication depends primarily on publishing in journals. The most important indicator to determine the influence of a journal is the Impact Factor. Since this factor only measures the average number of citations per article in a certain time window, it can be argued that it does not reflect the actual value of a periodical. This book defines five dimensions, which build a framework for a multidimensional method of journal evaluation. The author is winner of the Eugene Garfield Doctoral Dissertation Scholarship 2011. |
| plos computational biology journal impact factor: Peer review in scientific publications Great Britain: Parliament: House of Commons: Science and Technology Committee, 2011-07-28 This report indicates that the oversight of research integrity in the UK is unsatisfactory. The Science and Technology Committee concludes that in order to allow others to repeat and build on experiments, researchers should aim for the gold standard of making their data fully disclosed and made publicly available. The report examines the current peer-review system as used in scientific publications and the related issues of research impact, data management, publication ethics and research integrity. The UK does not seem to have an oversight body for research integrity covering advice and assurance functions across all disciplines and the Committee recommends the creation of an external regulator. It also says all UK research institutions should have a specific member of staff leading on research integrity. The report highlights concerns about the use of journal Impact Factor as a proxy measure for the quality of research or of individual articles. Innovative ways to improve current pre-publication peer-review practices are highlighted in the report, including the use of pre-print servers, open peer review, increased transparency and online repository-style journals. The growth of post-publication peer review and commentary also represents an enormous opportunity for experimentation with new media and social networking tools, which the Committee encourages. There should also be greater recognition of the work-sometimes considered to be a burden-carried out by reviewers, by both publishers and employers. In order to do this, publishers need to have in place systems for recording and acknowledging the contribution of those involved in peer review. |
| plos computational biology journal impact factor: Fostering Integrity in Research National Academies of Sciences, Engineering, and Medicine, Policy and Global Affairs, Committee on Science, Engineering, Medicine, and Public Policy, Committee on Responsible Science, 2018-01-13 The integrity of knowledge that emerges from research is based on individual and collective adherence to core values of objectivity, honesty, openness, fairness, accountability, and stewardship. Integrity in science means that the organizations in which research is conducted encourage those involved to exemplify these values in every step of the research process. Understanding the dynamics that support †or distort †practices that uphold the integrity of research by all participants ensures that the research enterprise advances knowledge. The 1992 report Responsible Science: Ensuring the Integrity of the Research Process evaluated issues related to scientific responsibility and the conduct of research. It provided a valuable service in describing and analyzing a very complicated set of issues, and has served as a crucial basis for thinking about research integrity for more than two decades. However, as experience has accumulated with various forms of research misconduct, detrimental research practices, and other forms of misconduct, as subsequent empirical research has revealed more about the nature of scientific misconduct, and because technological and social changes have altered the environment in which science is conducted, it is clear that the framework established more than two decades ago needs to be updated. Responsible Science served as a valuable benchmark to set the context for this most recent analysis and to help guide the committee's thought process. Fostering Integrity in Research identifies best practices in research and recommends practical options for discouraging and addressing research misconduct and detrimental research practices. |
| plos computational biology journal impact factor: Medical and Scientific Publishing Jasna Markovac, Molly Kleinman, Michael Englesbe, 2017-11-13 Very few doctors and scientists receive any sort of systematic training in publishing, editing, and reviewing scholarly articles, despite the central importance of that work for scientific research and for their careers. Medical and Scientific Publishing will help fill the gap and help readers to: Understand processes of scientific and medical publishing Understand the role of an academic in medical publishing Become a better scientific communicator Develop skills to effectively serve as the editor of a medical journal Medical and Scientific Publishing is based on a successful course at the University of Michigan Medical School for third and fourth year medical students. The course teaches students not just how to write scientific and medical articles, but addresses key issues surrounding copyright, ethics, open access and much more. Students will build a strong foundation on how to do peer review and how to be authors and editors which are important skills in building a professional career. - Covers a full range of essential information – explanation of publishing licenses, copyright and permissions, how to do peer review, how to write effectively, how journal publishing works, and much more - Emphasizes rigor, quality, and scientific integrity in writing, editing, and publishing - Focuses on authorship and editorial skills by experienced authors and publishers |
| plos computational biology journal impact factor: Using the Engineering Literature Bonnie A. Osif, 2016-04-19 With the encroachment of the Internet into nearly all aspects of work and life, it seems as though information is everywhere. However, there is information and then there is correct, appropriate, and timely information. While we might love being able to turn to Wikipedia for encyclopedia-like information or search Google for the thousands of links |
| plos computational biology journal impact factor: Biotechnology: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2019-06-07 Biotechnology can be defined as the manipulation of biological process, systems, and organisms in the production of various products. With applications in a number of fields such as biomedical, chemical, mechanical, and civil engineering, research on the development of biologically inspired materials is essential to further advancement. Biotechnology: Concepts, Methodologies, Tools, and Applications is a vital reference source for the latest research findings on the application of biotechnology in medicine, engineering, agriculture, food production, and other areas. It also examines the economic impacts of biotechnology use. Highlighting a range of topics such as pharmacogenomics, biomedical engineering, and bioinformatics, this multi-volume book is ideally designed for engineers, pharmacists, medical professionals, practitioners, academicians, and researchers interested in the applications of biotechnology. |
| plos computational biology journal impact factor: The Effective Scientist Corey J. A. Bradshaw, 2018-03-22 What is an effective scientist? One who is successful by quantifiable standards, with many publications, citations, and students supervised? Yes, but there is much more. Truly effective scientists need to have influence beyond academia, usefully applying and marketing their research to non-scientists. This book therefore takes an all-encompassing approach to improving the scientist's career. It begins by focusing on writing and publishing - a scientist's most important weapon in the academic arsenal. Part two covers the numerical and financial aspects of being an effective scientist, and Part three focuses on running a lab effectively. The book concludes by discussing the more entertaining and philosophical aspects of being an effective scientist. Little of this material is taught in university, but developing these skills is vital to maximize the chance of being effective. Written by a scientist for scientists, this practical and entertaining book is a must-read for every early career-scientist, regardless of specialty. |
| plos computational biology journal impact factor: Library and Information Services for Bioinformatics Education and Research Ram, Shri, 2017-01-25 The delivery and availability of information resources is a vital concern to professionals across multiple fields. This is particularly vital to data intensive professions, where easy accessibility to high-quality information is a crucial component of their research. Library and Information Services for Bioinformatics Education and Research is an authoritative reference source for the latest scholarly material on the role of libraries for the effective delivery of information resources to optimize the study of biological data. Highlighting innovative perspectives across a range of topics, such as user assessment, collection development, and information accessibility, this publication is ideally designed for professionals, managers, computer scientists, graduate students, and practitioners actively involved in the field of bioinformatics. |
| plos computational biology journal impact factor: The New ABCs of Research Ben Shneiderman, 2016-02-04 The problems we face in the 21st century require innovative thinking from all of us. Be it students, academics, business researchers of government policy makers. Hopes for improving our healthcare, food supply, community safety and environmental sustainability depend on the pervasive application of research solutions. The research heroes who take on the immense problems of our time face bigger than ever challenges, but if they adopt potent guiding principles and effective research lifecycle strategies, they can produce the advances that will enhance the lives of many people. These inspirational research leaders will break free from traditional thinking, disciplinary boundaries, and narrow aspirations. They will be bold innovators and engaged collaborators, who are ready to lead, yet open to new ideas, self-confident, yet empathetic to others. In this book, Ben Shneiderman recognizes the unbounded nature of human creativity, the multiplicative power of teamwork, and the catalytic effects of innovation. He reports on the growing number of initiatives to promote more integrated approaches to research so as to promote the expansion of these efforts. It is meant as a guide to students and junior researchers, as well as a manifesto for senior researchers and policy makers, challenging widely-held beliefs about how applied innovations evolve and how basic breakthroughs are made, and helping to plot the course towards tomorrow's great advancements. |
| plos computational biology journal impact factor: Ubiquitous Inclusive Learning in a Digital Era Ossiannilsson, Ebba, 2018-09-21 In open education, equality, accessibility, inclusiveness, and lifelong learning are key concerns. To meet, adapt to, and anticipate global goals and needs, as well as address open education concerns, educational programs require systemic changes and innovative leadership for advanced learning environments. Ubiquitous Inclusive Learning in a Digital Era provides innovative insights into the issues and current trends on open, online, flexible education and technology-enabled learning. The content within this publication represents the work of open online learning, hybrid learning, and inclusiveness. It is designed for educational administrators, teachers, librarians, government officials, and graduate-level students seeking covering on topics centered on educational technologies and equal access education. |
| plos computational biology journal impact factor: Issues in Computation: 2011 Edition , 2012-01-09 Issues in Computation / 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Computation. The editors have built Issues in Computation: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Computation in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Computation / 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/. |
| plos computational biology journal impact factor: BIOKYBERNETIKA Jochen Mau, Sergey Mukhin, Guanyu Wang, Shuhua Xu, 2024-12-30 This book aims to engage “Young Science – Talented & Ambitious” for a lasting collaboration to advance holistic mathematical modeling of “how the body works” in variant surroundings. The book sets road signs to mathematics in body’s vital, physical, and cognitive functions, as well as to factors of health impact in person’s environmental and social settings. It showcases selected current research in mathematical and biological theory, mathematical models at molecular, organism, and population levels as well as engineering, imaging, and data sciences methodologies, including bio-informatics and machine learning applications. For overarching theory, evaluation of surrogate structures with category theory, multi-scale whole-body dynamics by separation of functional organization from cellular material as well as mathematical axioms matching classic principles of philosophy in traditional Chinese medicine are introduced. Interested are systems-oriented researchers in all sciences related to human health who seek new profile-shaping challenges in transdisciplinary collaboration. |
| plos computational biology journal impact factor: The Art and Politics of Science Harold Varmus, 2009 The nobel prize winning scientist and former director of the National Institue of Health recalls the events of his life and career in science, in an autobiography that also incorporates scientific information about cancer biology and issues in public health. |
| plos computational biology journal impact factor: AIDS and the Historian Victoria Angela Harden, Guenter B. Risse, 1991 |
| plos computational biology journal impact factor: Managing the Drug Discovery Process Susan Miller, Walter Moos, Barbara Munk, Stephen Munk, Charles Hart, David Spellmeyer, 2023-03-09 Managing the Drug Discovery Process, Second Edition thoroughly examines the current state of pharmaceutical research and development by providing experienced perspectives on biomedical research, drug hunting and innovation, including the requisite educational paths that enable students to chart a career path in this field. The book also considers the interplay of stakeholders, consumers, and drug firms with respect to a myriad of factors. Since drug research can be a high-risk, high-payoff industry, it is important to students and researchers to understand how to effectively and strategically manage both their careers and the drug discovery process. This new edition takes a closer look at the challenges and opportunities for new medicines and examines not only the current research milieu that will deliver novel therapies, but also how the latest discoveries can be deployed to ensure a robust healthcare and pharmacoeconomic future. All chapters have been revised and expanded with new discussions on remarkable advances including CRISPR and the latest gene therapies, RNA-based technologies being deployed as vaccines as well as therapeutics, checkpoint inhibitors and CAR-T approaches that cure cancer, diagnostics and medical devices, entrepreneurship, and AI. Written in an engaging manner and including memorable insights, this book is aimed at anyone interested in helping to save countless more lives through science. A valuable and compelling resource, this is a must-read for all students, educators, practitioners, and researchers at large—indeed, anyone who touches this critical sphere of global impact—in and around academia and the biotechnology/pharmaceutical industry. - Considers drug discovery in multiple R&D venues - big pharma, large biotech, start-up ventures, academia, and nonprofit research institutes - with a clear description of the degrees and training that will prepare students well for a career in this arena - Analyzes the organization of pharmaceutical R&D, taking into account human resources considerations like recruitment and configuration, management of discovery and development processes, and the coordination of internal research within, and beyond, the organization, including outsourced work - Presents a consistent, well-connected, and logical dialogue that readers will find both comprehensive and approachable - Addresses new areas such as CRISPR gene editing technologies and RNA-based drugs and vaccines, personalized medicine and ethical and moral issues, AI/machine learning and other in silico approaches, as well as completely updating all chapters |
| plos computational biology journal impact factor: Biomedical Engineering Reza Fazel-Rezai, 2011-08-29 In all different areas in biomedical engineering, the ultimate objectives in research and education are to improve the quality life, reduce the impact of disease on the everyday life of individuals, and provide an appropriate infrastructure to promote and enhance the interaction of biomedical engineering researchers. This book is prepared in two volumes to introduce a recent advances in different areas of biomedical engineering such as biomaterials, cellular engineering, biomedical devices, nanotechnology, and biomechanics. It is hoped that both of the volumes will bring more awareness about the biomedical engineering field and help in completing or establishing new research areas in biomedical engineering. |
| plos computational biology journal impact factor: Opening Science Sönke Bartling, Sascha Friesike, 2013-12-16 Modern information and communication technologies, together with a cultural upheaval within the research community, have profoundly changed research in nearly every aspect. Ranging from sharing and discussing ideas in social networks for scientists to new collaborative environments and novel publication formats, knowledge creation and dissemination as we know it is experiencing a vigorous shift towards increased transparency, collaboration and accessibility. Many assume that research workflows will change more in the next 20 years than they have in the last 200. This book provides researchers, decision makers, and other scientific stakeholders with a snapshot of the basics, the tools, and the underlying visions that drive the current scientific (r)evolution, often called ‘Open Science.’ |
| plos computational biology journal impact factor: Research Anthology from Life Science and Biotechnology Dr Ramya R, 2024-09-24 From the intricate world of ocular biomarkers to the potential of stem cell therapy in regenerating damaged tissues, this book provides valuable insights into a multitude of biomedical fields. The inclusion of topics such as spatial transcriptomics, gene circuits, and nanotechnology highlights the interdisciplinary nature of modern scientific inquiry and the promise it holds for developing innovative solutions to pressing global health challenges. This is edited book project entitled “Research Anthology from Life science and Biotechnology” is a record of students work under my guidance. Research Anthology from Life Science and Biotechnology 978-93-341-2260-2 Dr Ramya Raghavan https://orcid.org/0000-0002-9953-543X Sri Sathya Sai University for Human Excellence, India DOI: 10.5281/zenodo.13824272 |
| plos computational biology journal impact factor: Scholarly Communications Report , 2005 |
| plos computational biology journal impact factor: Nature Sir Norman Lockyer, 2008 |
| plos computational biology journal impact factor: Statistical Analysis of Network Data with R Eric D. Kolaczyk, Gábor Csárdi, 2014-05-22 Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009). |
| plos computational biology journal impact factor: Clinical and Molecular Advances in Ankylosing Spondylitis Jacome Bruges-Armas, 2012-02-22 The first section of the book entitled Clinical and Molecular Advances in Ankylosing Spondylitis is a review of the clinical manifestations of Ankylosing Spondylitis (AS) and Spondyloarthritis (SpA). The book includes chapters on Bone Mineral Density measurements, two chapters on the temporomandibular joints, axial fractures, clinical manifestations, diagnosis, and treatment. Molecular genetics and immune response are analyzed in the second section of the book; information on HLA-B*27, other MHC genes and the immune response of AS patients to bacteria is reviewed and updated. Two chapters are dedicated to recent information on non-MHC genes in AS susceptibility, and to new data on disease pathways generated from gene expression studies on peripheral blood. |
| plos computational biology journal impact factor: Protein-Protein Interactions in Human Disease, Part A , 2018-02-03 Protein-Protein Interactions in Human Disease, Part A, Volume 110 aims to promote further research and development in the protein interaction network as a means to not only identify the critical proteins involved in the etiology of human diseases, but also identify new protein targets for drug development. Sections cover such topics as protein-protein interaction modulators for epigenetic therapies, intrinsic disorder, protein-protein interactions and disease, targeting protein-protein interactions in the ubiquitin-proteasome pathway, the proteomics of occupational diseases, and computational methods in predicting the impact of SNPs in protein-protein network, amongst other topics. - Describes advances in the application of powerful techniques in studying and analyzing protein-protein interactions - Targeted to a wide audience of researchers, specialists and students - Written by authorities in their field - Includes information that is well supported by a number of high quality illustrations, figures and tables |
| plos computational biology journal impact factor: Big Data Analysis and Artificial Intelligence for Medical Sciences Paola Lecca, 2024-07-29 Big Data Analysis and Artificial Intelligence for Medical Sciences Overview of the current state of the art on the use of artificial intelligence in medicine and biology Big Data Analysis and Artificial Intelligence for Medical Sciences demonstrates the efforts made in the fields of Computational Biology and medical sciences to design and implement robust, accurate, and efficient computer algorithms for modeling the behavior of complex biological systems much faster than using traditional modeling approaches based solely on theory. With chapters written by international experts in the field of medical and biological research, Big Data Analysis and Artificial Intelligence for Medical Sciences includes information on: Studies conducted by the authors which are the result of years of interdisciplinary collaborations with clinicians, computer scientists, mathematicians, and engineers Differences between traditional computational approaches to data processing (those of mathematical biology) versus the experiment-data-theory-model-validation cycle Existing approaches to the use of big data in the healthcare industry, such as through IBM’s Watson Oncology, Microsoft’s Hanover, and Google’s DeepMind Difficulties in the field that have arisen as a result of technological changes, and potential future directions these changes may take A timely and up-to-date resource on the integration of artificial intelligence in medicine and biology, Big Data Analysis and Artificial Intelligence for Medical Sciences is of great benefit not only to professional scholars, but also MSc or PhD program students eager to explore advancement in the field. |
| plos computational biology journal impact factor: Ocular Fluid Dynamics Giovanna Guidoboni, Alon Harris, Riccardo Sacco, 2019-11-25 The chapters in this contributed volume showcase current theoretical approaches in the modeling of ocular fluid dynamics in health and disease. By including chapters written by experts from a variety of fields, this volume will help foster a genuinely collaborative spirit between clinical and research scientists. It vividly illustrates the advantages of clinical and experimental methods, data-driven modeling, and physically-based modeling, while also detailing the limitations of each approach. Blood, aqueous humor, vitreous humor, tear film, and cerebrospinal fluid each have a section dedicated to their anatomy and physiology, pathological conditions, imaging techniques, and mathematical modeling. Because each fluid receives a thorough analysis from experts in their respective fields, this volume stands out among the existing ophthalmology literature. Ocular Fluid Dynamics is ideal for current and future graduate students in applied mathematics and ophthalmology who wish to explore the field by investigating open questions, experimental technologies, and mathematical models. It will also be a valuable resource for researchers in mathematics, engineering, physics, computer science, chemistry, ophthalmology, and more. |
| plos computational biology journal impact factor: Bioinformatics of Behavior: Part 1 , 2012-12-31 This issue of International Review of Neurobiology is split over 2 volumes, bringing together cutting-edge research on Bioinformatics of Behavior. The 2 volumes review current knowledge and understanding, provide a starting point for researchers and practitioners entering the field, and build a platform for further research and discovery. - Leading authors review the state-of-the-art in their field of investigation, and provide their views and perspectives for future research - Chapters are extensively referenced to provide readers with a comprehensive list of resources on the topics covered - All chapters include comprehensive background information and are written in a clear form that is also accessible to the non-specialist |
| plos computational biology journal impact factor: Optogenetics Krishnarao Appasani, 2017-04-27 This book provides applications for the revolutionary technique of optogenetics, which combines genetic and optical methods to observe the function of neurons. |
| plos computational biology journal impact factor: Computational Drug Discovery Pooja A. Chawla, Dilpreet Singh, Kamal Dua, Muralikrishnan Dhanasekaran, Viney Chawla, 2024-10-07 Computational methods and understanding computational models are important in modern drug discovery. The book focuses on computational approaches that can improve the development of in silico methodologies. It includes lead hit methods, docking algorithms, computational chiral compounds, structure-based drug design, GROMACS and NAMD, structural genomics, toxicity prediction, enzyme inhibitors and peptidomimetic therapeutics |
| plos computational biology journal impact factor: Population Genetics and Microevolutionary Theory Alan R. Templeton, 2021-05-04 Population Genetics and Microevolutionary Theory Explore the fundamentals of the biological implications of population genetic theory In the newly revised Second Edition of Population Genetics and Microevolutionary Theory, accomplished researcher and author Alan R. Templeton delivers a fulsome discussion of population genetics with coverage of exciting new developments in the field, including new discoveries in epigenetics and genome-wide studies. The book prepares students to successfully apply population genetics analytical tools by providing a solid foundation in microevolutionary theory. The book emphasizes that population structure forms the underlying template upon which quantitative genetics and natural selection operate and is a must-read for future population and evolutionary geneticists and those who wish to work in genetic epidemiology or conservation biology. You’ll learn about a wide array of topics, including quantitative genetics, the interactions of natural selection with other evolutionary forces, and selection in heterogeneous environments and age-structured populations. Appendices that cover genetic survey techniques and probability and statistics conclude the book. Readers will also benefit from the inclusion of: A thorough introduction to population genetics, including the scope of the subject, its premises, and the Hardy-Weinberg Model of Microevolution An exploration of systems of mating, including a treatment of the use of runs of homozygosity to show pedigree inbreeding in distant ancestors A practical discussion of genetic drift, including the use of effective sizes in conservation biology (with a discussion of African rhinos as an example) A concise examination of coalescence, including a treatment of the infinite sites model Perfect for graduate students in genetics and evolutionary biology programs and advanced undergraduate biology majors, Population Genetics and Microevolutionary Theory will also earn a place in the libraries of students taking courses in conservation biology, human genetics, bioinformatics, and genomics. |
| plos computational biology journal impact factor: Re-imagining Milk Andrea Wiley, 2015-11-19 Milk is a fascinating food: it is produced by mothers of each mammalian species for consumption by nursing infants of that species, yet many humans drink the milk of another species (mostly cows) and they drink it throughout life. Thus we might expect that this dietary practice has some effects on human biology that are different from other foods. In Re-imagining Milk Wiley considers these, but also puts milk-drinking into a broader historical and cross-cultural context. In particular, she asks how dietary policies promoting milk came into being in the U.S., how they intersect with biological variation in milk digestion, how milk consumption is related to child growth, and how milk is currently undergoing globalizing processes that contribute to its status as a normative food for children (using India and China as examples). Wiley challenges the reader to re-evaluate their assumptions about cows' milk as a food for humans. Informed by both biological and social theory and data, Re-imagining Milk provides a biocultural analysis of this complex food and illustrates how a focus on a single commodity can illuminate aspects of human biology and culture. |
| plos computational biology journal impact factor: Systems Medicine , 2020-08-24 Technological advances in generated molecular and cell biological data are transforming biomedical research. Sequencing, multi-omics and imaging technologies are likely to have deep impact on the future of medical practice. In parallel to technological developments, methodologies to gather, integrate, visualize and analyze heterogeneous and large-scale data sets are needed to develop new approaches for diagnosis, prognosis and therapy. Systems Medicine: Integrative, Qualitative and Computational Approaches is an innovative, interdisciplinary and integrative approach that extends the concept of systems biology and the unprecedented insights that computational methods and mathematical modeling offer of the interactions and network behavior of complex biological systems, to novel clinically relevant applications for the design of more successful prognostic, diagnostic and therapeutic approaches. This 3 volume work features 132 entries from renowned experts in the fields and covers the tools, methods, algorithms and data analysis workflows used for integrating and analyzing multi-dimensional data routinely generated in clinical settings with the aim of providing medical practitioners with robust clinical decision support systems. Importantly the work delves into the applications of systems medicine in areas such as tumor systems biology, metabolic and cardiovascular diseases as well as immunology and infectious diseases amongst others. This is a fundamental resource for biomedical students and researchers as well as medical practitioners who need to need to adopt advances in computational tools and methods into the clinical practice. Encyclopedic coverage: ‘one-stop’ resource for access to information written by world-leading scholars in the field of Systems Biology and Systems Medicine, with easy cross-referencing of related articles to promote understanding and further research Authoritative: the whole work is authored and edited by recognized experts in the field, with a range of different expertise, ensuring a high quality standard Digitally innovative: Hyperlinked references and further readings, cross-references and diagrams/images will allow readers to easily navigate a wealth of information |
| plos computational biology journal impact factor: The Network Challenge Paul R. Kleindorfer, Yoram (Jerry) R. Wind, Robert E. Gunther, 2009-06-11 New Paperback Edition Networks and the Enterprise: Breakthrough Thinking and Actionable Strategies “This book presents an amazing collection of insights on underlying forces and ways to thrive in our post-Coaseian age—an age in which the centralized firm is changing into an agile and resilient network of participants. A must read for a world where unpredictability reigns supreme.” —John Seely Brown, Independent Co-Chair of the Deloitte Center for Edge Innovation, and Senior Fellow at the Annenberg Center for Communication at the University of Southern California “I couldn’t wait to get my hands on this research...I have already begun to put the ideas into practice in designing next-generation open innovation networks...the diversity of ideas and perspectives is truly amazing and will be a terrific resource to anyone seeking to move to new business models based on the power of networks for innovation, marketing, and creating and leveraging big ideas. Job well done!” —Larry Huston, Creator of the “Connect and Develop” program for Procter & Gamble, and Managing Director of 4iNNO, a major Open Innovation consulting practice “In our borderless world, every manager needs to understand the strategic implications of networks. For the first time, The Network Challenge brings together thought leaders from many fields—a team of experts as broad as the network challenge itself.” —Kenichi Ohmae, author of more than 100 books, including the seminal work, The Mind of the Strategist, advisor on global strategy to foreign governments and scores of multinational corporations, selected by The Economist as one of five management gurus in the world. Networks define modern business. Networks introduce new risks (as seen by the rapid spread of contagion in global financial markets) and opportunities (as seen in the rapid rise of network-based businesses). While managers typically view business through the lens of a single firm, this book challenges readers to take a broader view of their enterprises and opportunities. This book’s 28 original essays include CK Prahalad on networks as the new locus of competitive advantage Russell E. Palmer on leadership in a networked global environment Dawn Iacobucci and James M. Salter II on the business implications of social networking Franklin Allen and Ana Babus on contagion in financial markets Steven O. Kimbrough on artificial intelligence, evolutionary computation, and networks Satish Nambisan and Mohan Sawhney on tapping the “global brain” for innovation Manuel E. Sosa on coordination networks in product development Christophe Van den Bulte and Stefan Wuyts on customer networks Christoph Zott and Raphael Amit on using business models to drive network-based strategies Yoram (Jerry) Wind, Victor Fung, and William Fung on network orchestration Valery Yakubovich and Ryan Burg on network-based HR strategy Howard Kunreuther on risk management strategies for an interdependent world Paul R. Kleindorfer and Ilias D. Visvikis on integrating financial and physical networks in global logistics Witold J. Henisz on network-based political and social risk management Boaz Ganor on terrorism networks And much more... |
| plos computational biology journal impact factor: Intelligent Computing in Bioinformatics De-Shuang Huang, Kyungsook Han, Michael Gromiha, 2014-07-03 This book – in conjunction with the volumes LNCS 8588 and LNAI 8589 – constitutes the refereed proceedings of the 10th International Conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 58 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as machine learning; neural networks; image processing; computational systems biology and medical informatics; biomedical informatics theory and methods; advances on bio-inspired computing; protein and gene bioinformatics: analysis, algorithms, applications. |
| plos computational biology journal impact factor: The Network Challenge (Chapter 27) J. Shin Teh, Harvey Rubin, 2009-05-19 Infectious diseases are complex, interdependent events that can be described as networks over enormous scales of time and distance from the molecular to the societal, from the local microenvironment to the global stage. In this chapter, Teh and Rubin argue that meeting this challenge effectively requires a solution that engages networks. This network-based perspective must inform not only the development and distribution of drugs and vaccines for infectious diseases, but also the development of strategies of primary prevention that use the knowledge of such networks to disrupt and limit disease spread. In this review, they analyze infectious diseases in the context of the networks underlying the evolution, establishment, and propagation of disease. They also review the network-based analyses for modeling disease spread and allowing a better understanding of the counter-interventions needed. Finally, they outline the future challenges in this area and propose a collaborative international solution based on a “global compact” that will allow effective diagnosis, prevention, and treatment of infectious diseases. |
| plos computational biology journal impact factor: An Inclusive Academy Abigail J. Stewart, Virginia Valian, 2018-07-17 How colleges and universities can live up to their ideals of diversity, and why inclusivity and excellence go hand in hand. Most colleges and universities embrace the ideals of diversity and inclusion, but many fall short, especially in the hiring, retention, and advancement of faculty who would more fully represent our diverse world—in particular women and people of color. In this book, Abigail Stewart and Virginia Valian argue that diversity and excellence go hand in hand and provide guidance for achieving both. Stewart and Valian, themselves senior academics, support their argument with comprehensive data from a range of disciplines. They show why merit is often overlooked; they offer statistics and examples of individual experiences of exclusion, such as being left out of crucial meetings; and they outline institutional practices that keep exclusion invisible, including reliance on proxies for excellence, such as prestige, that disadvantage outstanding candidates who are not members of the white male majority. Perhaps most important, Stewart and Valian provide practical advice for overcoming obstacles to inclusion. This advice is based on their experiences at their own universities, their consultations with faculty and administrators at many other institutions, and data on institutional change. Stewart and Valian offer recommendations for changing structures and practices so that people become successful in ways that benefit everyone. They describe better ways of searching for job candidates; evaluating candidates for hiring, tenure, and promotion; helping faculty succeed; and broadening rewards and recognition. |
| plos computational biology journal impact factor: Achievements of the National Plant Genome Initiative and New Horizons in Plant Biology National Research Council, Division on Earth and Life Studies, Board on Agriculture and Natural Resources, Board on Life Sciences, Committee on the National Plant Genome Initiative: Achievements and Future Directions, 2008-03-20 Life on Earth would be impossible without plants. Humans rely on plants for most clothing, furniture, food, as well as for many pharmaceuticals and other products. Plant genome sciences are essential to understanding how plants function and how to develop desirable plant characteristics. For example, plant genomic science can contribute to the development of plants that are drought-resistant, those that require less fertilizer, and those that are optimized for conversion to fuels such as ethanol and biodiesel. The National Plant Genome Initiative (NPGI) is a unique, cross-agency funding enterprise that has been funding and coordinating plant genome research successfully for nine years. Research breakthroughs from NPGI and the National Science Foundation (NSF) Arabidopsis 2010 Project, such as how the plant immune system controls pathogen defense, demonstrate that the plant genome science community is vibrant and capable of driving technological advancement. This book from the National Research Council concludes that these programs should continue so that applied programs on agriculture, bioenergy, and others will always be built on a strong foundation of fundamental plant biology research. |
| plos computational biology journal impact factor: Sex and Gender Factors Affecting Metabolic Homeostasis, Diabetes and Obesity Franck Mauvais-Jarvis, 2017-12-08 The book provides a reference for years to come, written by world-renowned expert investigators studying sex differences, the role of sex hormones, the systems biology of sex, and the genetic contribution of sex chromosomes to metabolic homeostasis and diseases. In this volume, leaders of the pharmaceutical industry present their views on sex-specific drug discovery. Many of the authors presented at the Keystone Symposium on “Sex and gender factors affecting metabolic homeostasis, diabetes and obesity” to be held in March 2017 in Lake Tahoe, CA. This book will generate new knowledge and ideas on the importance of gender biology and medicine from a molecular standpoint to the population level and to provide the methods to study them. It is intended to be a catalyst leading to gender-specific treatments of metabolic diseases. There are fundamental aspects of metabolic homeostasis that are regulated differently in males and females, and influence both the development of diabetes and obesity and the response to pharmacological intervention. Still, most preclinical researchers avoid studying female rodents due to the added complexity of research plans. The consequence is a generation of data that risks being relevant to only half of the population. This is a timely moment to publish a book on sex differences in diseases as NIH leadership has asked scientists to consider sex as a biological variable in preclinical research, to ensure that women get the same benefit of medical research as men. |
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