Isbn: 9781041170150 - quantitative biology: life from the numbers (24 risultati)

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  • Lingua: Inglese

    Editore: CRC Press, 2026

    1041170157 / 9781041170150

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    Editore: CRC Press, 2026

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    Paperback. Condizione: New. Biology at all scales has become a data-driven science, with large-scale datasets driving fields from population genomics to ecology. Practicing biologists have no choice but to use computational approaches, statistics, modeling, and other data science tools in their research. However, undergraduate biology education still primarily focuses on nonquantitative descriptions. This book provides students whose background is in biology with an introduction to modeling biological systems using mathematical, computational, and statistical tools. It is based on a series of hands-on analyses conducted with open-source tools that allow the students to discover for themselves emergent properties of biological systems that are not evident without using model-based approaches. The goal of this book is to provide a "turn-key" introductory quantitative biology course suitable for all biology students. The book provides the narrative for the analyses and discussions to be done in class, with support from the included website, slides, and test material.Key Features Written in an accessible, narrative style Includes hands-on analyses with open-source tools Integrates biology across spatial and temporal scales Links to a course website with interactive tools Brings biological education into the "data science" era Each chapter includes a variety of exercises designed to actively engage the readerLecture slides and animations to cover the key arguments and derivations in each chapter, as well as example exam questions, are available for qualified instructors.

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    Editore: CRC Press, 2026

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    Paperback. Condizione: New. Biology at all scales has become a data-driven science, with large-scale datasets driving fields from population genomics to ecology. Practicing biologists have no choice but to use computational approaches, statistics, modeling, and other data science tools in their research. However, undergraduate biology education still primarily focuses on nonquantitative descriptions. This book provides students whose background is in biology with an introduction to modeling biological systems using mathematical, computational, and statistical tools. It is based on a series of hands-on analyses conducted with open-source tools that allow the students to discover for themselves emergent properties of biological systems that are not evident without using model-based approaches. The goal of this book is to provide a "turn-key" introductory quantitative biology course suitable for all biology students. The book provides the narrative for the analyses and discussions to be done in class, with support from the included website, slides, and test material.Key Features Written in an accessible, narrative style Includes hands-on analyses with open-source tools Integrates biology across spatial and temporal scales Links to a course website with interactive tools Brings biological education into the "data science" era Each chapter includes a variety of exercises designed to actively engage the readerLecture slides and animations to cover the key arguments and derivations in each chapter, as well as example exam questions, are available for qualified instructors.

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    Editore: CRC Press, 2026

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    Condizione: New. Gavin Conant worked as a researcher in evolutionary and computational biology for more than 25 years and has authored or coauthored more than 80 peer-reviewed scholarly articles, as well as book chapters and articles for the popular pres.

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    Lingua: Inglese

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    Paperback. Condizione: New. Biology at all scales has become a data-driven science, with large-scale datasets driving fields from population genomics to ecology. Practicing biologists have no choice but to use computational approaches, statistics, modeling, and other data science tools in their research. However, undergraduate biology education still primarily focuses on nonquantitative descriptions. This book provides students whose background is in biology with an introduction to modeling biological systems using mathematical, computational, and statistical tools. It is based on a series of hands-on analyses conducted with open-source tools that allow the students to discover for themselves emergent properties of biological systems that are not evident without using model-based approaches. The goal of this book is to provide a "turn-key" introductory quantitative biology course suitable for all biology students. The book provides the narrative for the analyses and discussions to be done in class, with support from the included website, slides, and test material.Key Features Written in an accessible, narrative style Includes hands-on analyses with open-source tools Integrates biology across spatial and temporal scales Links to a course website with interactive tools Brings biological education into the "data science" era Each chapter includes a variety of exercises designed to actively engage the readerLecture slides and animations to cover the key arguments and derivations in each chapter, as well as example exam questions, are available for qualified instructors.

  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, GB, 2026

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    Paperback. Condizione: New. Biology at all scales has become a data-driven science, with large-scale datasets driving fields from population genomics to ecology. Practicing biologists have no choice but to use computational approaches, statistics, modeling, and other data science tools in their research. However, undergraduate biology education still primarily focuses on nonquantitative descriptions. This book provides students whose background is in biology with an introduction to modeling biological systems using mathematical, computational, and statistical tools. It is based on a series of hands-on analyses conducted with open-source tools that allow the students to discover for themselves emergent properties of biological systems that are not evident without using model-based approaches. The goal of this book is to provide a "turn-key" introductory quantitative biology course suitable for all biology students. The book provides the narrative for the analyses and discussions to be done in class, with support from the included website, slides, and test material.Key Features Written in an accessible, narrative style Includes hands-on analyses with open-source tools Integrates biology across spatial and temporal scales Links to a course website with interactive tools Brings biological education into the "data science" era Each chapter includes a variety of exercises designed to actively engage the readerLecture slides and animations to cover the key arguments and derivations in each chapter, as well as example exam questions, are available for qualified instructors.

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    Editore: CRC Pr I Llc, 2026

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    Paperback. Condizione: new. Paperback. Biology at all scales has become a data-driven science, with large-scale datasets driving fields from population genomics to ecology. Practicing biologists have no choice but to use computational approaches, statistics, modeling, and other data science tools in their research. However, undergraduate biology education still primarily focuses on nonquantitative descriptions. This book provides students whose background is in biology with an introduction to modeling biological systems using mathematical, computational, and statistical tools. It is based on a series of hands-on analyses conducted with open-source tools that allow the students to discover for themselves emergent properties of biological systems that are not evident without using model-based approaches. The goal of this book is to provide a "turn-key" introductory quantitative biology course suitable for all biology students. The book provides the narrative for the analyses and discussions to be done in class, with support from the included website, slides, and test material.Key Features Written in an accessible, narrative style Includes hands-on analyses with open-source tools Integrates biology across spatial and temporal scales Links to a course website with interactive tools Brings biological education into the "data science" era Each chapter includes a variety of exercises designed to actively engage the readerLecture slides and animations to cover the key arguments and derivations in each chapter, as well as example exam questions, are available for qualified instructors. Biology has become a data-driven science. Practicing biologists have no choice but to use computational approaches and statistics in their research. This book, based around a series of hands-on analyses conducted with open-source tools, provides students whose background is in biology with an introduction to modeling biological systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: CRC Press, 2026

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Biology has become a data-driven science. Practicing biologists have no choice but to use computational approaches and statistics in their research. This book, based around a series of hands-on analyses conducted with open-source tools, provides students whose background is in biology with an introduction to modeling biological systems.

  • Lingua: Inglese

    Editore: CRC Press, 2026

    1041170157 / 9781041170150

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    Taschenbuch. Condizione: Neu. Quantitative Biology | Life from the Numbers | Gavin Conant | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | CRC Press | EAN 9781041170150 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.