Biotechnology Books

Book SynopsisDiscover over 80 recipes for modeling and handling real-life biological data using modern libraries from the R ecosystem Key Features Apply modern R packages to process biological data using real-world examples Represent biological data with advanced visualizations and workflows suitable for research and publications Solve real-world bioinformatics problems such as transcriptomics, genomics, and phylogenetics Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe updated second edition of R Bioinformatics Cookbook takes a recipe-based approach to show you how to conduct practical research and analysis in computational biology with R. You’ll learn how to create a useful and modular R working environment, along with loading, cleaning, and analyzing data using the most up-to-date Bioconductor, ggplot2, and tidyverse tools. This book will walk you through the Bioconductor tools necessary for you to understand and carry out protocols in RNA-seq and ChIP-seq, phylogenetics, genomics, gene search, gene annotation, statistical analysis, and sequence analysis. As you advance, you'll find out how to use Quarto to create data-rich reports, presentations, and websites, as well as get a clear understanding of how machine learning techniques can be applied in the bioinformatics domain. The concluding chapters will help you develop proficiency in key skills, such as gene annotation analysis and functional programming in purrr and base R. Finally, you'll discover how to use the latest AI tools, including ChatGPT, to generate, edit, and understand R code and draft workflows for complex analyses. By the end of this book, you'll have gained a solid understanding of the skills and techniques needed to become a bioinformatics specialist and efficiently work with large and complex bioinformatics datasets.What you will learn Set up a working environment for bioinformatics analysis with R Import, clean, and organize bioinformatics data using tidyr Create publication-quality plots, reports, and presentations using ggplot2 and Quarto Analyze RNA-seq, ChIP-seq, genomics, and next-generation genetics with Bioconductor Search for genes and proteins by performing phylogenetics and gene annotation Apply ML techniques to bioinformatics data using mlr3 Streamline programmatic work using iterators and functional tools in the base R and purrr packages Use ChatGPT to create, annotate, and debug code and workflows Who this book is forThis book is for bioinformaticians, data analysts, researchers, and R developers who want to address intermediate-to-advanced biological and bioinformatics problems by learning via a recipe-based approach. Working knowledge of the R programming language and basic knowledge of bioinformatics are prerequisites.Table of ContentsTable of Contents Setting Up Your R Bioinformatics Working Environment Loading, Tidying, and Cleaning Data in the tidyverse ggplot2 and Extensions for Publication Quality Plots Using Quarto to Make Data-Rich Reports, Presentations, and Websites Easily Performing Statistical Tests Using Linear Models Performing Quantitative RNA-seq Finding Genetic Variants with HTS Data Searching Gene and Protein Sequences for Domains and Motifs Phylogenetic Analysis and Visualization Analyzing Gene Annotations Machine Learning with mlr3 Functional Programming in puRRR and base R Turbo-Charging Development in R with ChatGPT

Read more less

Book SynopsisBiotechnology is the single most powerful bundle of new technologies currently under development. It is also the most intrusive and determinative technology relating to nature generally and the human body specifically. This Reader brings together some of the most important work from feminists and environmentalists critical of the headlong rush into what is likely to prove a technological minefield. As such it will be essential reading for students, scholars and activists in social studies of science, women‘s studies, development and environmental studies.Table of Contents Foreword Preface List of Contributors 1. Introduction: Mobilizing Critical Communities and Discourses on Modern Biotechnology - Ingunn Moser Part I: Biotechnology as Culture: (Re)constructions of Biology and Nature 2. Human Nature - Ruth Hubbard 3. Genes as Causes - Ruth Hubbard 4. Fractured Images of Science, Language and Power: A Post-Modern Optic, or Just Bad Eyesight? - Evelyn Fox Keller 5. Otherworldly Conversations, Terrain Topics, Local Terms - Donna Haraway Part II: Biohazards: Risk in Context 6. The Limits of Experimental Knowledge: A Feminist Perspective on the Ecological Risks of Genetic Engineering - Regine Kollek 7. Error-Friendliness and the Evolutionary Impact of Deliberate Release of GMOs - Christine von Weizsacker 8. The Greening of Biotechnology: GMOs as Environment-Friendly Products - Les Levidow and Joyce Tait Part III: Bioethics, Knowledge, and Ethics as Politics 9. Biosemiotics and Ethics - Jesper Hoffmeyer 10. A 'Genethics' that Makes Sense - Rosalyn Diprose 11. Whose Ethics for Agricultural Biotechnology? - Les Levidow Part IV: Biopolitics: The Political Ecology of Biotechnology 12. Biotechnological Development and the Conservation of Biodiversity - Vandana Shiva 13. Biotechnology, Patents and the Third World - Cary Fowler 14. Biotechnology and the Future of Agriculture - Nicanor Perlas 16. Epilogue: Beyond Redcutionism - Vandana Shiva Glossary A Select Guide to Further Reading Index

Read more less

Book SynopsisThis book represents the first comprehensive compilation of information on all aspects of the medicinal plant Panax ginseng, ranging from its botany to applied aspects in medicine and molecular breeding. In contributions by respected experts, it also discusses the genetic background and biochemical profile of this important medicinal plant. Ginsenoside biosynthesis and metabolic dynamics are also described in detail. Given its scope, the book offers a valuable guide for students, educators and scientists in academia and industry interested in medicinal plants and pharmacy.Table of ContentsChapter 1. The Introduction of Ginseng (The Origin, Distribution, Cultivation and Economics Importance).Chapter 2. Ginseng Phytochemistry, Pharmaceutical Application and Industry. Chapter 3. Molecular Identification of Ginseng. Chapter 4. Breeding of Ginseng. Chapter 5. Ginseng Genome & Metabolic Genes. Chapter 6. Ginseng Genome Structure & Evolution. Chapter 7. Chloroplast Genome Diversity in The Panax Genus. Chapter 8. Transcriptome of Ginseng. Chapter 9. Metabolic Dynamics and Ginsenoside Biosynthesis. Chapter 10. Genomic Resources for Ginseng. Chapter 11. Cytogenetics and Evolution of Repeats. Chapter 12. Genomes of Other Species in Panax. Chapter 13. Rhizospheric Metagenomics of Ginseng. Chapter 14. Synthetic Biology of Ginsenosides. Chapter 15. Gut Microbiome for Ginseng Medicine. Chapter 16. Functional Genomics of Ginseng Anti-Disease.

Read more less