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Applied Microbiome Statistics
This unique book officially defines microbiome statistics as a specific new field of statistics and addresses the statistical analysis of correlation, association, interaction, and composition in microbiome research. It also defines the study of the microbiome as a hypothesis-driven experimental science and describes two microbiome research themes and six unique characteristics of microbiome data, as well as investigating challenges for statistical analysis of microbiome data using the standard statistical methods. This book is useful for researchers of biostatistics, ecology, and data analysts. Presents a thorough overview of statistical methods in microbiome statistics of parametric and no...
Bioinformatic and Statistical Analysis of Microbiome Data
This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research. Bioinformatic and Statistical Analysis of Microbiome Data is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis.
A joint stocktaking of CGIAR work on forest and landscape restoration
Despite the high level of political engagement and the wide range of organizations involved in restoration projects from local to global levels, beyond some success stories, restoration is not happening at scale. To address this issue, three CGIAR Research Programs (CRPs) – Forests, Trees and Agroforestry (FTA); Policies, Institutions and Markets (PIM) and Water, Land and Ecosystems (WLE) – decided to bring together their expertise in a joint stocktaking of CGIAR work on restoration. This publication illustrates with concrete examples the powerful contribution of forest and landscape restoration to the achievement of most, if not all the 17 sustainable development goals. It can be used to support the design of future restoration activities, programs and projects. We hope that this document will help upscale restoration efforts and deliver enhanced impact from our CGIAR research.
