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While biological data continues to grow exponentially in size and quality, many of today's biologists are not trained adequately in the computing skills necessary for leveraging this information deluge. In Computing Skills for Biologists, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data. Based on the authors' experiences teaching scientific computing at the University of Chicago, this textbook emphasizes the automation of repetitive tasks and the construction of pipelines for data organization, analysis, visualization, and publication. Stressing practice rather than theory, the book's examples and exercises are drawn from actual biological data and solve cogent problems spanning the entire breadth of biological disciplines, including ecology, genetics, microbiology, and molecular biology. Beginners will benefit from the many examples explained step-by-step, while more seasoned researchers will learn how to combine tools to make biological data analysis robust and reproducible. The book uses free software and code that can be run on any platform. Computing Skills for Biologists is ideal for scientists wanting to improve their technical skills and instructors looking to teach the main computing tools essential for biology research in the twenty-first century. (-) Excellent resource for acquiring comprehensive computing skills ; (-) Both novice and experienced scientists will increase efficiency by building automated and reproducible pipelines for biological data analysis ; (-) Code examples based on published data spanning the breadth of biological disciplines ; (-) Detailed solutions provided for exercises in each chapter ; (-) Extensive companion website.

Biology --- Biology --- Data processing. --- Computer programs.

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Leading ecologists discuss some of the most compelling open questions in the field todayUnsolved Problems in Ecology brings together many of the world's leading ecologists to discuss the most fundamental research questions confronting the field today. This diverse and thought-provoking collection of essays spans virtually all of the key subfields of the discipline, from behavioral and evolutionary ecology to population biology, community ecology, ecosystem ecology, disease ecology, and conservation biology. These essays are intended to stoke curiosity, challenge prevailing wisdom, and provoke new ways of thinking about ecology in light of new technologies and unprecedented environmental challenges brought on by climate and land-use change. Authoritative and accessible, Unsolved Problems in Ecology is ideal for graduate students in the early stages of their scientific careers and an essential resource for seasoned ecologists looking for exciting new directions to take their research.Sheds light on modern ecology's most important and compelling open questionsFeatures thought-provoking contributions from more than two dozen world-class ecologistsCovers behavior, evolution, communities, ecosystems, resource management, and moreDiscusses ways to raise the financial and intellectual profile of the disciplineAn invaluable resource for graduate students as well as seasoned ecologists

Ecology. --- Population biology. --- Coexistence of species. --- Ecosystem management. --- Biodiversity conservation. --- Biodiversity --- Biological diversity conservation --- Conservation of biodiversity --- Diversity conservation, Biological --- Gender mainstreaming in biodiversity conservation --- Maintenance of biological diversity --- Preservation of biological diversity --- Conservation of natural resources --- Ecosystem management --- Biotic communities --- Ecosystems management --- Applied ecology --- Environmental management --- Nature conservation --- Biodiversity conservation --- Sympatry (Biology) --- Population biology --- Species --- Biology --- Ecology --- Balance of nature --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Conservation --- Management --- auto ecology. --- autoecology. --- conservation. --- ecological communities. --- environmental policy. --- environmentalism. --- food web structure. --- food webs. --- growth regulation. --- high dimensional trait space. --- individual-based data. --- interdependence and mutualism. --- intra-genomic variance. --- mating. --- mutation. --- natural resource management. --- population dynamics of complex life cycles. --- population dynamics. --- population size. --- scaling in ecology. --- soil biodiversity. --- species coexistence. --- species richness distribution. --- variance explicit ecology.