The book offers essential principles and clear explanations of quantitative virology, filling a gap in the field by consolidating information that was previously scattered across primary literature. It serves as a valuable resource for students new to virology and those seeking to refresh their understanding of the discipline.
Joshua S Weitz Livres





Quantitative Biosciences
Dynamics Across Cells, Organisms, and Populations
- 408pages
- 15 heures de lecture
Focusing on practical applications, this book offers a comprehensive guide to quantitative reasoning specifically tailored for the life sciences. It emphasizes real-world problems and provides tools for data analysis, statistical methods, and modeling. Designed for students and professionals alike, the hands-on exercises enhance understanding and foster critical thinking skills necessary for tackling complex biological questions. The integration of theory and practice equips readers with the knowledge to apply quantitative techniques effectively in their research and studies.
"This guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students-whether from the life sciences, physics, computational sciences, engineering, or mathematics-how to reason quantitatively in the face of uncertainty"--
This guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students-whether from the life sciences, physics, computational sciences, engineering, or mathematics-how to reason quantitatively in the face of uncertainty