This is the newest title in the successful Molecular Plant Biology Handbook Series. Just like the other titles in the series this new book presents an excellent overview of different approaches and techniques in Metabolomics. Contributors are either from ivy-league research institutions or from companies developing new technologies in this dynamic and fast-growing field. With its approach to introduce current techniques in plant metabolomics to a wider audience and with many labs and companies considering to introduce metabolomics for their research, the title meets a growing market. The Kahl books are in addition a trusted brand for the plant science community and have always sold above expectations.
Molecular biology operates at three levels – genes, proteins and metabolites. This book is unique in that it provides a comprehensive description of an approach (metabonomics) to characterise the endogenous metabolites in a living system, complementing gene and protein studies (genomics and proteomics). These "omics" methods form the basis for understanding biology at a systems level. The Handbook of Metabonomics and Metabolomics aims to be the definitive work on the rapidly expanding subjects of metabolic profiling, metabolite and biomarker identification, encompassing the fields of metabonomics and metabolomics. It covers the principles of the subject, the analytical and statistical techniques used and the wide variety of applications.* comprehensive description of an approach (metabonomics) to characterise the endogenous metabolites in a living system, complementing gene and protein studies* aims to be the definitive work on the rapidly expanding subjects of metabolic profiling, metabolite and biomarker identification* covers the principles of the subject, the analytical and statistical techniques used and the wide variety of applications.
In Plant Metabolism: Methods and Protocols, expert researchers in the field present the latest methods on quantitative analysis of plant metabolism. The methods focus on measurements, analyses and simulations of molecules, fluxes, and ultimately entire metabolic pathways and networks. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, reagents, or software, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Plant Metabolism: Methods and Protocols seeks to benefit scientists ranging from plant biology, metabolic engineering, and biotechnology.
The Handbook of Metabolic Phenotyping is the definitive work on the rapidly developing subject of metabolic phenotyping. It explores in detail the wide array of analytical chemistry and statistical modeling techniques used in the field, coupled with surveys of the various application areas in human development, nutrition, disease, therapy, and epidemiology to create a comprehensive exploration of the area of study. It covers recent studies that integrate the various -omics data sets to derive a systems biology view. It also addresses current issues on standardization, assay and statistics validation, and data storage and sharing. Written by experts with many years of practice in the field who pioneered many of the approaches widely used today, The Handbook of Metabolic Phenotyping is a valuable resource for postgrads and research scientists studying and furthering the field of metabolomics. - Contains theoretical and practical explanations of all the main analytical chemistry techniques used in metabolic phenotyping - Explores, in detail, the many diverse statistical approaches used in the field - Offers practical tips for successfully conducting metabolic phenotyping studies - Features reviews of all of the various fields of activity relating to human studies
Metabolomics and proteomics allow deep insights into the chemistry and physiology of biological systems. This book expounds open-source programs, platforms and programming tools for analysing metabolomics and proteomics mass spectrometry data. In contrast to commercial software, open-source software is created by the academic community, which facilitates the direct interaction between users and developers and accelerates the implementation of new concepts and ideas. The first section of the book covers the basics of mass spectrometry, experimental strategies, data operations, the open-source philosophy, metabolomics, proteomics and statistics/ data mining. In the second section, active programmers and users describe available software packages. Included tutorials, datasets and code examples can be used for training and for building custom workflows. Finally, every reader is invited to participate in the open science movement.
Metabolomics: Methods and Protocols examines the state-of-the-art in metabolomic analysis. Leading researchers in the field present protocols for the application of complementary analytical methods, such as gas chromatography-mass spectrometry (GC-MS). Metabolomics: Methods and Protocols contains forward-looking protocols, which provide the essential groundwork for future efforts in elucidating the structure of the unknowns detected in metabolomic studies.
Unlike other handbooks in this emerging field, this guide focuses on the challenges and critical parameters in running a metabolomics study, including such often-neglected issues as sample preparation, choice of separation and detection method, recording and evaluating data as well as method validation. By systematically covering the entire workflow, from sample preparation to data processing, the insight and advice offered here helps to clear the hurdles in setting up and running a successful analysis, resulting in high-quality data from every experiment. Based on more than a decade of practical experience in developing, optimizing and validating metabolomics approaches as a routine technology in the academic and industrial research laboratory, the lessons taught here are highly relevant for all systems-level approaches, whether in systems biology, biotechnology, toxicology or pharmaceutical sciences. From the Contents: * Sampling and Sample Preparation in Microbial Metabolomics * Tandem Mass Spectrometry Hyphenated with HPLC and UHPLC for Targeted Metabolomics * GC-MS, LC-MS, CE-MS and Ultrahigh Resolution MS (FTICR-MS) in Metabolomics * NMR-based metabolomics analysis * Potential of Microfluidics and Single Cell Analysis in Metabolomics * Data Processing in Metabolomics * Validation and Measurement Uncertainty in Metabolomic Studies * Metabolomics and its Role in the Study of Mammalian Systems and in Plant Sciences * Metabolomics in Biotechnology and Nutritional Metabolomics and more.
A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.
The relatively new technique of solid phase microextraction (SPME) is an important tool to prepare samples both in the lab and on-site. SPME is a "green" technology because it eliminates organic solvents from analytical laboratory and can be used in environmental, food and fragrance, and forensic and drug analysis. This handbook offers a thorough background of the theory and practical implementation of SPME. SPME protocols are presented outlining each stage of the method and providing useful tips and potential pitfalls. In addition, devices and fiber coatings, automated SPME systems, SPME method development, and In Vivo applications are discussed. This handbook is essential for its discussion of the latest SPME developments as well as its in depth information on the history, theory, and practical application of the method. - Practical application of Solid Phase Microextraction methods including detailed steps - Provides history of extraction methods to better understand the process - Suitable for all levels, from beginning student to experienced practitioner
While the complete sequencing of the genomes of model organisms such as a multitude of bacteria and archaea, the yeast Saccharomyces cerevisiae, the worm Caenorhabditis elegans, the fly Drosophila melanogaster, and the mouse and human genomes have received much public attention, the deciphering of plant genomeswas greatly lagging behind. Up to now, only two plant genomes, one of the model plant Arabidopsis thaliana and one of the crop species rice (Oryza sativa) have been sequenced, though a series of other crop genome sequencing projects are underway. Notwithstanding this public bias towards genomics of animals and humans, it is nevertheless of great importance for basic and applied sciences and industries in such diverse fields as agriculture, breeding in particular, evolutionary genetics, biotechnology, and food science to know the composition of crop plant genomes in detail. It is equally crucial for a deeper understanding of the molecular basis of biodiversity and synteny. The Handbook of Genome Mapping: Genetic and Physical Mapping is the first book on the market to cover these hot topics in considerable detail, and is set apart by its combination of genetic and physical mapping. Throughout, each chapter begins with an easy-to-read introduction, also making the book the first reference designed for non-specialists and newcomers, too. In addition to being an outstanding bench work reference, the book is an excellent textbook for learning and teaching genomics, in particular for courses on genome mapping. It also serves as an up-to-date guide for seasoned researchers involved in the genetic and physical mapping of genomes, especially plant genomes.
