Biotechnology and Biology of Trichoderma serves as a comprehensive reference on the chemistry and biochemistry of one of the most important microbial agents, Trichoderma, and its use in an increased number of industrial bioprocesses for the synthesis of many biochemicals such as pharmaceuticals and biofuels. This book provides individuals working in the field of Trichoderma, especially biochemical engineers, biochemists and biotechnologists, important information on how these valuable fungi can contribute to the production of a wide range of products of commercial and ecological interest. - Provides a detailed and comprehensive coverage of the chemistry, biochemistry and biotechnology of Trichoderma, fungi present in soil and plants - Includes most important current and potential applications of Trichoderma in bioengineering, bioprocess technology including bioenergy & biofuels, biopharmaceuticals, secondary metabolites and protein engineering - Includes the most recent research advancements made on Trichoderma applications in plant biotechnology and ecology and environment

This volume gives an account of the morphology and taxonomy of "Trichoderma" and "Gliocladium", before disscusing their ecology and basic biology.

Originally a special issue of Chemistry & Biodiversity, this is an excellent overview of the status of contemporary studies in peptaibiotics, covering aspects ranging from the search for novel bioactive compounds to considerations of their membrane-modifying properties.

Known world-wide as the standard introductory text to this important and exciting area, the sixth edition of Gene Cloning and DNA Analysis addresses new and growing areas of research whilst retaining the philosophy of the previous editions. Assuming the reader has little prior knowledge of the subject, its importance, the principles of the techniques used and their applications are all carefully laid out, with over 250 clearly presented four-colour illustrations. In addition to a number of informative changes to the text throughout the book, the final four chapters have been significantly updated and extended to reflect the striking advances made in recent years in the applications of gene cloning and DNA analysis in biotechnology. Gene Cloning and DNA Analysis remains an essential introductory text to a wide range of biological sciences students; including genetics and genomics, molecular biology, biochemistry, immunology and applied biology. It is also a perfect introductory text for any professional needing to learn the basics of the subject. All libraries in universities where medical, life and biological sciences are studied and taught should have copies available on their shelves. "... the book content is elegantly illustrated and well organized in clear-cut chapters and subsections... there is a Further Reading section after each chapter that contains several key references... What is extremely useful, almost every reference is furnished with the short but distinct author's remark." –Journal of Heredity, 2007 (on the previous edition)

This book provides readers a fundamental understanding of the science and applications of medicinal and aromatic plant materials. Chapters of this handbook covers the basics of ethnobotany, (bio)active compounds and their natural sources. Information about the cosmetic, nutritional, medicinal and industrial uses (dyes, tannins and biocides) is also presented. Readers will also learn about concepts central to quality control processes, sustainable management, wild harvesting and the economic valuation of the industrial impact of endemic plants. The volume also presents a case study of the wormwood (Artemisia absinthium L.), which is helpful in explaining the above concepts. This book is intended as a handbook for undergraduate students and teaching professionals in research and higher education institutions involved in agricultural engineering, pharmacy, forestry, natural product chemistry. Non experts interested in aromatic and medicinal plant agriculture, transformation and commercialization will also find the content informative.

Harnessing fungi’s enzymatic ability to break down lignocellulolytic biomass to produce ethanol more efficiently and cost-effectively has become a significant research and industrial interest. Fungi and Lignocellulosic Biomass provides readers with a broad range of information on the uses and untapped potential of fungi in the production of bio-based fuels. With information on the molecular biological and genomic aspects of fungal degradation of plant cell walls to the industrial production and application of key fungal enzymes, chapters in the book cover topics such as enzymology of cellulose, hemicelluloses, and lignin degradation. Edited by a leading researcher in the field, Fungi and Lignocellulosic Biomass will be a valuable tool in advancing the development and production of biofuels and a comprehensive resource for fungal biologists, enzymologists, protein chemists, biofuels chemical engineers, and other research and industry professionals in the field of biomass research.

Rapid advances in our understanding of genetics have required that new books contain topics such as the concept and theory of gene cloning, transgenics, genomics, and various other coverage of traditional and contemporary subjects. Although there is an abundance of textbooks that cover introductory genetics and advanced courses in genetics, there is a noticeable gap at the intermediate (second year) level. In the past gene structure, function and expression were taught at final year /postgraduate level, but the rapid advances in our understanding of genetics has encouraged courses to change considerably. Over recent years these topics have filtered down the curriculum and are currently taught as core topics at second year, with a corresponding change in textbook requirements. Where once second year students were restricted to learning about the concept and theory of gene cloning, now they routinely clone genes for themselves as part of their practical assignments. Genes to Genomics will fill the gap, cover much of the same ground as previous titles, but go further on contemporary topics like transgenics, sequence comparison and analysis of variation. * A concise, up to date textbook that provides a balanced coverage of traditional and contemporary topics taught within intermediate courses in molecular genetics * Jeremy Dale has a proven track record as the successful author of Molecular Genetics of Bacteria * Genes to Genomics will include a series of feature box-outs that will examine some of the topical issues related to the scientific concepts and examples explored within the text * A range of questions and exercises including worked examples and web-based practicals * An accompanying web site will allow the authors to keep their audience up to date in the areas that are prone to date most rapidly between successive editions of the textbook. It will also include the illustrations and images from the textbook, in addition to worked examples, answers to questions within the book, and links to related websites of key interest.

In recent years there have been tremendous achievements made in DNA sequencing technologies and corresponding innovations in data analysis and bioinformatics that have revolutionized the field of genome analysis.In this book, an impressive array of expert authors highlight and review current advances in genome analysis. This volume provides an invaluable, up-to-date and comprehensive overview of the methods currently employed for next-generation sequencing (NGS) data analysis, highlights their problems and limitations, demonstrates the applications and indicates the developing trends in various fields of genome research. The first part of the book is devoted to the methods and applications that arose from, or were significantly advanced by, NGS technologies: the identification of structural variation from DNA-seq data; whole-transcriptome analysis and discovery of small interfering RNAs (siRNAs) from RNA-seq data; motif finding in promoter regions, enhancer prediction and nucleosome sequence code discovery from ChiP-Seq data; identification of methylation patterns in cancer from MeDIP-seq data; transposon identification in NGS data; metagenomics and metatranscriptomics; NGS of viral communities; and causes and consequences of genome instabilities. The second part is devoted to the field of RNA biology with the last three chapters devoted to computational methods of RNA structure prediction including context-free grammar applications.An essential book for everyone involved in sequence data analysis, next-generation sequencing, high-throughput sequencing, RNA structure prediction, bioinformatics and genome analysis.

A guide to machine learning approaches and their application to the analysis of biological data. An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding rapidly. Bioinformatics is the development and application of computer methods for management, analysis, interpretation, and prediction, as well as for the design of experiments. Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory, which is the situation in molecular biology. The goal in machine learning is to extract useful information from a body of data by building good probabilistic models—and to automate the process as much as possible. In this book Pierre Baldi and Søren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed both at biologists and biochemists who need to understand new data-driven algorithms and at those with a primary background in physics, mathematics, statistics, or computer science who need to know more about applications in molecular biology. This new second edition contains expanded coverage of probabilistic graphical models and of the applications of neural networks, as well as a new chapter on microarrays and gene expression. The entire text has been extensively revised.