Metagenomics: Perspectives, Methods, and Applications provides thorough coverage of the growing field of metagenomics. A diverse range of chapters from international experts offer an introduction to the field and examine methods for metagenomic analysis of microbiota, metagenomic computational tools, and recent metagenomic studies in various environments. The emphasis on application makes this text particularly useful for applied researchers, practitioners, clinicians and students seeking to employ metagenomic approaches to advance knowledge in the biomedical and life sciences. Case-study based application chapters examine topics ranging from viral metagenome profiling, metagenomics in oral disease and health, metagenomic insights into the human gut microbiome and metabolic syndromes, and more. Additionally, perspectives on future potential at the end of each chapter provoke new thought and motivations for continued study in this exciting and fruitful research area.

For all introductory genetics courses. This package includes Mastering Genetics. Teach students core genetics concepts and applications Concepts of Genetics emphasizes the fundamental ideas of genetics, while exploring modern techniques and applications of genetic analysis. This best-selling text continues to provide understandable explanations of complex, analytical topics and recognizes the importance of teaching students how to become effective problem solvers. The 12th Edition has been extensively updated to provide comprehensive coverage of important, emerging topics such as CRISPR-Cas and the study of posttranscriptional gene regulation in eukaryotes. An expanded emphasis on ethical considerations that genetics is bringing into everyday life is addressed in Genetics, Ethics, and Society and Case Study features. Reach every student by pairing this text with Mastering Genetics Mastering (TM) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools developed to engage students and emulate the office-hour experience, Mastering personalizes learning and improves results for each student. Mastering Genetics should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.

Technology for modifying the genotypes and phenotypes of insects and other arthropods has steadily progressed with the development of more precise and powerful methods, most prominently transgenic modification. For many insect pests, there is now almost unlimited ability to modify phenotypes to benefit human health and agriculture. Precise DNA modifications and gene drive have the power to make wild-type populations less harmful in ways that could never have been performed with previous transgenic approaches. This transition from primarily laboratory science to greater application for field use has also necessitated greater development of modeling, ethical considerations and regulatory oversight. The 2nd Edition of Transgenic Insects contains chapters contributed by experts in the field that cover technologies and applications that are now possible. This edition includes increased attention to associated challenges of risk assessment, regulation, and public engagement. Featuring: Up-to-date analysis of molecular techniques, such as gene editing. Consideration of public attitudes and regulatory aspects associated with transgenic insects. Many examples of the wide range of applications of transgenic insects. This book will be very valuable to students and researchers in entomology, molecular biology, genetics, public health and agriculture, and will also appeal to practitioners who are implementing the technology, and to regulators, stakeholders and ethicists.

miRNA and Cancer, Volume 135, the latest volume in the Advances in Cancer Research series, provides invaluable information on the exciting and fast-moving field of cancer research. This volume presents original reviews on research bridging oncology and gene expression, and includes specific chapters on Non-coding RNAs as Biomarkers of Cancer, The Enigma of microRNA Regulation in Cancer, Animal Models to Study microRNA functions, Non-coding RNAs and Cancer, microRNAs in Cancer Susceptibility, ts-RNAs versus microRNAs, microRNAs and AML, and microRNAs and Epigenetics.

With the new techniques described in this volume, a new gene can be placed on the linkage map within only a few days. Leading researchers have updated the earlier edition to include the latest versions of DNA-based marker maps for a variety of important crops.

RNA Modification, Volume 41 examines the powerful ability to regulate the function of RNA molecules or modify the message transmitted by RNA molecules. Chapters in this newly released volume include The Importance of Being Modified: Modifications Shape RNA Function through Chemistry, Structure and Dynamics, The evolution of multi-substrate specificity by RNA modification enzymes, TrmD: a methyl transferase for tRNA methylation with m1G37, Structures and activities of the Elongator complex and its co-factors, RNA pseudouridylation: Mechanism and Function, The activity of 5'3' exonucleases on hypo modified tRNA substrates and other structured RNAs, and the Synthesis, heterogeneity and function of post-transcriptional nucleotide modifications in eukaryotic ribosomal RNAs. This field has recently seen a very rapid progress in the understanding of the mechanism and enzymes involved in RNA modification. This volume presents some of the most recent advances in the identification and function of enzymes involved in modifying RNA molecules.

Nanotechnology-Based Approaches for Targeting and Delivery of Drugs and Genes provides an overview of the important aspects of nanomedicine in order to illustrate how to design and develop novel and effective drug delivery systems using nanotechnology. The book is organized into three sections, beginning with an introduction to nanomedicine and its associated issues. Section two discusses the latest technologies in nanomedicine, while the third section covers future developments and challenges in the field. By focusing on the design, synthesis, and application of a variety of nanocarriers in drug and gene delivery, this book provides pharmaceutical and materials science students, professors, clinical researchers, and industry scientists with a valuable resource aimed at tackling the challenges of delivering drugs and genes in a more targeted manner.

Transcriptome Analysis, by Frank Stahl, Bernd Hitzmann, Kai Mutz, Daniel Landgrebe, Miriam Lubbecke, Cornelia Kasper, Johanna Walter und Thomas Scheper Transcriptome Data Analysis for Cell Culture Processes, by Marlene Castro-Melchor, Huong Le und Wei-Shou Hu Modeling Metabolic Networks for Mammalian Cell Systems: General Considerations, Modeling Strategies, and Available Tools, by Ziomara P. Gerdtzen Metabolic Flux Analysis in Systems Biology of Mammalian Cells, by Jens Niklas und Elmar Heinzle Advancing Biopharmaceutical Process Development by System-Level Data Analysis and Integration of Omics Data, by Jochen Schaub, Christoph Clemens, Hitto Kaufmann und Torsten W. Schulz Protein Glycosylation and Its Impact on Biotechnology, by Markus Berger, Matthias Kaup und Veronique Blanchard Protein Glycosylation Control in Mammalian Cell Culture: Past Precedents and Contemporary Prospects, by Patrick Hossler Modeling of Intracellular Transport and Compartmentation, by Uwe Jandt und An-Ping Zeng Genetic Aspects of Cell Line Development from a Synthetic Biology Perspective, by L. Botezatu, S. Sievers, L. Gama-Norton, R. Schucht, H. Hauser und D. Wirth.

The book gives an overview of developments in Quantitative Genetics and variance component analysis in an era of Big Data and Sequenced Genomes. It provides a detailed description of a direct method of estimation that will be a useful means of extracting information from a large set of data that was inconceivable 10 to 20 years ago.The book is a combination of a history of variance component analysis and a forward looking view as to how direct methods of estimation arise from the availability of big data sets and sequenced genomes of each individual in the sample.Many papers and books on quantitative genetics versions of the general linear model from statistics are useful for analyzing the data, using relatively small sets of data. In this book, new methods of direct estimation are introduced and analyzed that are appropriate for an era of big sets of data and sequences genomes. These direct methods of estimation are based on taking conditional expectations rather the methods of least squares that characterize many applications of the general linear model of statistics.

The book gives an overview of developments in Quantitative Genetics and variance component analysis in an era of Big Data and Sequenced Genomes. It provides a detailed description of a direct method of estimation that will be a useful means of extracting information from a large set of data that was inconceivable 10 to 20 years ago.The book is a combination of a history of variance component analysis and a forward looking view as to how direct methods of estimation arise from the availability of big data sets and sequenced genomes of each individual in the sample.Many papers and books on quantitative genetics versions of the general linear model from statistics are useful for analyzing the data, using relatively small sets of data. In this book, new methods of direct estimation are introduced and analyzed that are appropriate for an era of big sets of data and sequences genomes. These direct methods of estimation are based on taking conditional expectations rather the methods of least squares that characterize many applications of the general linear model of statistics.

This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.

The nitrogen (N) cycle is one of the most important nutrient cycles on the planet, and many of its steps are performed by microbial organisms. During the cycling process, greenhouse gases are formed, including nitrous oxide and methane. In addition, the use of nitrogen fertilizers increases freshwater nitrate levels, causing pollution and human health problems. A greater knowledge of the microbial communities involved in nitrogen transformations is necessary to understand and counteract nitrogen pollution. This book - written by renowned researchers who are specialized in the most relevant and emerging topics in the field - provides comprehensive information on the new theoretical, methodological, and applied aspects of metagenomics and other 'omics' approaches used to study the microbial N cycle. The book provides a thorough account of the contributions of metagenomics to microbial N cycle background theory. It also reviews state-of-the-art investigative methods and explores new applications in water treatment, agricultural practices, climate change, among others. The book is recommended for microbiologists, environmental scientists, and anyone interested in microbial communities, metagenomics, metatranscriptomics, and metaproteomics of the microbial N cycle.

Cutting edge reviews by leading researchers illuminate key aspects of DNA repair in mammalian systems and its relationship to human genetic disease and cancer. Major topics include UV and X-Ray repair, repair of chemical damage, recombinational repair, mismatch repair, transcription-repair coupling, and the role of DNA repair in disease prevention. Extensive up-to-date references and rigorous peer-review of each chapter make this volume definitive and bring it to the active frontiers of research.

Epigenomics in Health and Disease discusses the next generation sequencing technologies shaping our current knowledge with regards to the role of epigenetics in normal development, aging, and disease. It includes the consequences for diagnostics, prognostics, and disease-based therapies made possible by the study of the complete set of epigenetic modifications to the genetic material of human cells. With coverage pertinent to both basic biology and translational research, the book will be of particular interest for medical and bioscience researchers and students seeking current translational knowledge in epigenesis and epigenomics. Coverage includes the latest findings on epigenome-wide research in disease-based profiling, epidemiological implications, epigenome-wide epigenetic studies, the cancer epigenome, and other pervasive disease categories.

Genomics and Society; Ethical, Legal-Cultural, and Socioeconomic Implications is the first book to address the vast and thorny web of ELSI topics identified as core priorities of the NHGRI in 2011. The work addresses fundamental issues of biosociety and bioeconomy as the revolution in biology moves from research lab to healthcare system. Of particular interest to healthcare practitioners, bioethicists, and health economists, and of tangential interest to the gamut of applied social scientists investigating the societal impact of new medical paradigms, the work describes a myriad of issues around consent, confidentiality, rights, patenting, regulation, and legality in the new era of genomic medicine.

Foods from natural products are a major contributor to contemporary dietary needs. The knowledge of interactions of specific natural products on genes is accumulating due to recent scientific advancements. Natural Products Interactions on Genomes focuses on recent developments in understanding human genome interactions with various natural products. The book first examines selected major natural products and their interactions with selected genes for each chromosome in mammals, then moves on to focused discussions on interactions of natural products with genes that are involved in specific diseases. It includes studies on breast cancer and prostate cancer. The focus then shifts to the effects of natural products on microbial growth and a final chapter that discusses future challenges and prospects in the field. This book also presents a unique real-time approach by providing hyperlinks to websites with updated literature on natural products and interactions with genes involved in metabolic pathways. With a broad range of relevance among disciplines including biology, biomedical science, pharmacy, medicinal chemistry, and naturopathic and herbal medicine, Natural Products Interactions on Genomes provides a valuable reference. It gives you an understanding of the methods of study of natural products and their effects on genomes while pointing toward the future of natural products and the areas they impact in health and science.

Small DNA tumour viruses are a group of double-stranded DNA viruses made up of the polyomavirus, the adenovirus, and the papillomavirus families. In this title, scientists from around the globe review current topics in this area, providing an overview of the molecular biology of these viruses and their interactions with the host.

Bioinformatics has ignited the imagination of scientists, entrepreneurs and the general public. At the meeting place of two fast growth disciplines, biology and computer science Bioinformatics is one of the cornerstones of the new biology. It is clearly pivotal to the translation of high throughput projects such the human genome project into useful knowledge. Yet despite all this attention, there is no consensus on what exactly is Bioinformatics. There are several canonical topics, such as gene structure prediction, protein functional classification or structure prediction. The present book explores new frontiers in bioinformatics, such as Glycomics or the computational modeling of genetic processes. We also discuss confounding factors that we find crucial to the development of the field, such as the ability to protect and restrict intellectual property in the field, or the challenges involved in educating bioinformatics users. Finally, we touch upon some fundamental questions, such as what information is and how it is captured in biological systems. By bringing to the readers such a broad spectrum of reviews, we hope to capture the vibrant spirit of this young science and to truly represent the fast pace with which it is still developing.

The discovery of the spatial structure of the double-stranded DNA molecule is one of the greatest achievements of science. It would not be an exaggeration to say that the DNA double helix is a distinguished symbol of modern biology.
Divided into three parts, DNA Liquid-Crystalline Dispersions and Nanoconstructions covers the information presently available on the condensation of various forms of DNA and describes practical applications of the peculiar properties of the liquid-crystalline particles.

• Part 1 describes the main methods used for condensation of linear high- and low-molecular mass DNA, including their complexes with polycations and circular DNA
• Part 2 compares the state and reactivity of double-stranded nucleic acid molecules fixed spatially in the liquid-crystalline as well as the same molecules under intracellular conditions
• Part 3 explains how the discovery of the fundamental principles underlying the formation of nucleic acid liquid-crystalline dispersion particles opens a gate for the operational use of these principles in the area of nanotechnology and biosensorics

With detailed coverage of DNA liquid crystals, this book provides an understanding of the information presently available on the condensation of various forms of DNA. Double-stranded nucleic acids, spatially organized in a liquid-crystalline structure, represent an important polyfunctional tool for molecular biology and nanobiotechnology. The possibility of programmed and controlled variations in the properties of these molecules and in the characteristics of their liquid-crystalline dispersions, provides wide options for the formation of biologically active three-dimensional structures with unique, widely applicable properties.

The latest edition of this highly successful textbook introduces the key techniques and concepts involved in cloning genes and in studying their expression and variation.
The new edition features:
Increased coverage of whole-genome sequencing technologies and enhanced treatment of bioinformatics.Clear, two-colour diagrams throughout.A dedicated website including all figures.

Noted for its outstanding balance between clarity of coverage and level of detail, this book provides an excellent introduction to the fast moving world of molecular genetics.

This volume presents an overview of recent developments in systems biology and their applications in cancer-related research. The ongoing advances in our understanding of genomics and proteomics, coupled with the development of new and more robust tools, have led to an emphasis on analyzing biological systems at multiple levels. Thus, there is a need to integrate different types of data into a comprehensive "systems" view.

Written by active researchers in the emerging areas, this book gives senior undergraduate students, graduate students and new researchers an idea of where the frontiers of systems biology are and an opportunity to learn high-throughput techniques in use. One of the particular emphases of the book is to elucidate the molecular mechanisms in cancer. The discovery of biomarkers and anti-cancer drugs using systems biology approach is also extensively discussed.

This manual is an indispensable tool for introducing advanced undergraduates and beginning graduate students to the techniques of recombinant DNA technology, or gene cloning and expression. The techniques used in basic research and biotechnology laboratories are covered in detail. Students gain hands-on experience from start to finish in subcloning a gene into an expression vector, through purification of the recombinant protein.
The second edition has been completely re-written, with new laboratory exercises and all new illustrations and text, designed for a typical 15-week semester, rather than a 4-week intensive course. The project approach to experiments was maintained: students still follow a cloning project through to completion, culminating in the purification of recombinant protein. It takes advantage of the enhanced green fluorescent protein-students can actually visualize positive clones following IPTG induction.
*Cover basic concepts and techniques used in molecular biology research labs
*Student-tested labs proven successful in a real classroom laboratories
*Exercises simulate a cloning project that would be performed in a real research lab
*"Project" approach to experiments gives students an overview of the entire process
*Prep-list appendix contains necessary recipes and catalog numbers, providing staff with detailed instructions"

This book provides a timely summary of physical modeling approaches applied to biological datasets that describe conformational properties of chromosomes in the cell nucleus. Chapters explain how to convert raw experimental data into 3D conformations, and how to use models to better understand biophysical mechanisms that control chromosome conformation. The coverage ranges from introductory chapters to modeling aspects related to polymer physics, and data-driven models for genomic domains, the entire human genome, epigenome folding, chromosome structure and dynamics, and predicting 3D genome structure.

Mapping the genomic landscapes is one of the most exciting frontiers of science. We have the opportunity to reverse engineer the blueprints and the control systems of living organisms. Computational tools are key enablers in the deciphering process. This book provides an in-depth presentation of some of the important computational biology approaches to genomic sequence analysis. The first section of the book discusses methods for discovering patterns in DNA and RNA. This is followed by the second section that reflects on methods in various ways, including performance, usage and paradigms.

This unique introduction to the growing field of microfluidics applied to genomics provides an overview of the latest technologies and emphasizes its potential in answering important biological questions. Written by a physicist and a biologist, it offers a more comprehensive view than the previous literature. The book starts with key ideas in molecular biology, developmental biology and microtechnology before going on to cover the specifics of single cell analysis and microfluidic devices for single cell molecular analysis. Review chapters discuss the state-of-the art and will prove invaluable to all those planning to develop microdevices for molecular analysis of single cells. Methods allowing complete analysis of gene expression in the single cell are stressed - as opposed the more commonly used techniques that allow analysis of only a few genes at a time. As pioneers in the field, the authors understand how critical it is for a physicist to understand the biological issues and questions related to single cell analysis, as well for biologists to understand what microfluidics is all about. Aimed predominantly at graduate students, this book will also be of significant interest to scientists working in or affiliated with this field.