Vaccine research and development is advancing at an unprecedented pace, with an increasing emphasis on rational design based upon a fundamental und- standing of the underlying molecular mechanisms. The aim of this volume is to provide a selection of contemporary protocols that will be useful to both novice and advanced practitioner alike. The variety of procedures required to design, develop, produce, and assess a vaccine is immense and covers aspects of ch- istry, biochemistry, molecular biology, cell biology, and immunology. No single volume can hope to cover these topics exclusively. Rather, here we attempt to provide a methods sourcebook focusing on hands-on practical advice. Comp- mentary and background information may be found in other volumes in the Me- ods in Molecular Medicine series. Of particular interest are volumes on Dendritic Cell Protocols, Interleukin Protocols, Vaccine Adjuvants, and DNA Vaccines. Since the publication of the first edition of Vaccine Protocols there have been major advances, particularly in the areas of bacterial genomics, antig- specific T-cell quantification, genetic manipulation of vaccine vectors, the h- nessing of natural molecules concerned with the regulation of immune responses, and the burgeoning field of DNA vaccinology. Hence, the extensive revision of this edition with new chapters on live viral vaccine vectors, atte- ated bacterial vectors, immunomodulators, MHC-peptide tetrameric complexes, and the identification of vaccine candidates by genomic analysis. Additionally, chapters from the first edition have been updated to accommodate state-of-t- art methods in vaccinology.

Vaccine research and development is advancing at an unprecedented pace, with an increasing emphasis on rational design based upon a fundamental und- standing of the underlying molecular mechanisms. The aim of this volume is to provide a selection of contemporary protocols that will be useful to both novice and advanced practitioner alike. The variety of procedures required to design, develop, produce, and assess a vaccine is immense and covers aspects of ch- istry, biochemistry, molecular biology, cell biology, and immunology. No single volume can hope to cover these topics exclusively. Rather, here we attempt to provide a methods sourcebook focusing on hands-on practical advice. Comp- mentary and background information may be found in other volumes in the Me- ods in Molecular Medicine series. Of particular interest are volumes on Dendritic Cell Protocols, Interleukin Protocols, Vaccine Adjuvants, and DNA Vaccines. Since the publication of the first edition of Vaccine Protocols there have been major advances, particularly in the areas of bacterial genomics, antig- specific T-cell quantification, genetic manipulation of vaccine vectors, the h- nessing of natural molecules concerned with the regulation of immune responses, and the burgeoning field of DNA vaccinology. Hence, the extensive revision of this edition with new chapters on live viral vaccine vectors, atte- ated bacterial vectors, immunomodulators, MHC-peptide tetrameric complexes, and the identification of vaccine candidates by genomic analysis. Additionally, chapters from the first edition have been updated to accommodate state-of-t- art methods in vaccinology.

Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications. The modeling challenges covered within the book include imputation and interpolation for spatial data, fitting probability density functions to tree measurement data using maximum likelihood, fitting allometric functions using both linear and non-linear least-squares regression, and fitting growth models using both linear and non-linear mixed-effects modeling. The coverage also includes deploying and using forest growth models written in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. The book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management. The text assumes no programming background, some introductory statistics, and very basic applied mathematics.

With climate change and increasing globalisation of trade and travel, the risks presented by invasive pests and pathogens to natural environments, agriculture and economies have never been greater, and are only increasing with time. Governments world-wide are responding to these increased threats by strengthening quarantine and biosecurity. This book presents a comprehensive review of risk-based techniques that help policy makers and regulators protect national interests from invasive pests and pathogens before, at, and inside national borders. Selected from the research corpus of the Centre of Excellence for Biosecurity Risk Analysis at the University of Melbourne, this book provides solutions that reflect scientific rigour coupled with practical, hands-on applications. Focusing on surveillance, stochastic modelling, intelligence gathering, decision making and risk communication, the contents combine the strengths of risk analysts, mathematicians, economists, biologists and statisticians. The book presents tested scientific solutions to the greatest challenges faced by quarantine and biosecurity policy makers and regulators today.

With climate change and increasing globalisation of trade and travel, the risks presented by invasive pests and pathogens to natural environments, agriculture and economies have never been greater, and are only increasing with time. Governments world-wide are responding to these increased threats by strengthening quarantine and biosecurity. This book presents a comprehensive review of risk-based techniques that help policy makers and regulators protect national interests from invasive pests and pathogens before, at, and inside national borders. Selected from the research corpus of the Centre of Excellence for Biosecurity Risk Analysis at the University of Melbourne, this book provides solutions that reflect scientific rigour coupled with practical, hands-on applications. Focusing on surveillance, stochastic modelling, intelligence gathering, decision making and risk communication, the contents combine the strengths of risk analysts, mathematicians, economists, biologists and statisticians. The book presents tested scientific solutions to the greatest challenges faced by quarantine and biosecurity policy makers and regulators today.