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.

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.

The Genome Incorporated examines the proliferation of human genomics across contemporary media cultures. It explores questions about what it means for a technoscience to thoroughly saturate everyday life, and places the interrogation of the science/media relationship at the heart of this enquiry. The book develops a number of case studies in the mediation and consumption of genomics, including: the emergence of new direct-to-the-consumer bioinformatics companies; the mundane propagation of testing and genetic information through lifestyle television programming; and public and private engagements with art and science institutions and events. Through these novel sites, this book examines the proliferating circuits of production and consumption of genetic information and theorizes this as a process of incorporation. Its wide-ranging case studies ensure its appeal to readers across the social sciences.

Bacterial Genomes provides an in-depth review of the latest research on the structure and stability of microbial genomes, and the techniques used to analyze and "fingerprint" them. Maps of a variety of microorganisms are featured, along with articles describing their construction and relevant features. Extensive tables summarizing the different types of techniques available to analyze the genomes of these microorganisms are also presented. Among those who will find this text most useful are genome researchers, microbiologists, molecular biologists, bacteriologists, infectious disease researchers, and molecular evolutionary biologists. Researchers and students working in the field of molecular evolution in general will also be interested in this book since microbes are such popular model systems.

Numerous and charismatic, the Lepidoptera is one of the most widely studied groups of invertebrates. Advances in molecular tools and genomic techniques have reduced the need for large sizes and mass-rearing, and lepidopteran model systems are increasingly used to illuminate broad-based experimental questions as well as those peculiar to butterflies and moths. Molecular Biology and Genetics of the Lepidoptera presents a wide-ranging collection of studies on the Lepidoptera, treating them as specialized insects with distinctive features and as model systems for carrying out cutting-edge research. Leading researchers provide an evolutionary framework for placing moths and butterflies on the Tree of Life. The book covers progress in deciphering the silkworm genome and unraveling lepidopteran sex chromosomes. It features new information on sex determination, evolution, and the development of butterfly wing patterns, eyes, vision, circadian clocks, chemoreceptors, and sexual communication. The contributors discuss the genetics and molecular biology of plant host range and prospects for controlling the major crop pest genus Helicoverpa. They also explore the rise of insecticide resistance, the innate immune response, lepidopteran minihosts for testing human pathogens and antibiotics, and the use of intrahemocoelic toxins for control. The book concludes with coverage of polyDNA virus-carrying parasitoid wasps, and the cloning of the first virus resistance gene in the silkworm. Understanding the biology and genetics of butterflies and moths may lead to new species-selective methods of control, saving billions of dollars in pesticide use and protecting environmental and human health-making the sections on strategies for pest management extremely important. This book will open up new paths to the research literature for a broad audience, including entomologists, evolutionary and systematic biologists, geneticists, physiologists, biochemists, and molecular biologists.

DNA microarray technology has become a useful technique in gene expression analysis for the development of new diagnostic tools and for the identification of disease genes and therapeutic targets for human cancers. Appropriate control for DNA microarray experiment and reliable analysis of the array data are key to performing the assay and utilizing the data correctly. The most difficult challenge has been the lack of a powerful method to analyze the data for all genes (more than 30,000 genes) simultaneously and to use the microarray data in a decision-making process. In this book, the authors describe DNA microarray technology and data analysis by pointing out current advantages and disadvantages of the technique and available analytical methods. Crucially, new ideas and analytical methods based on the authors' own experience in DNA microarray study and analysis are introduced. It is believed that this new way of interpreting and analyzing microarray data will bring us closer to success in decision-making using the information obtained through the DNA microarray technology.

"Genomics in Asia" focuses on issues dealing with the development and application of molecular biology and bioengineering technologies in Asian societies and cultures. The workshop on which this book is based aimed to gain an insight into bioethical issues with relation to the dynamics of Asian societies, cultures and religions. It was to generate debate on Asian Genomics and create a basis for comparative research into the relationship between the development and application of modern genetics, cultural values, and local interests in Asian societies. The papers first of all reflect a great variety of bioethical views discussed from the angle of different disciplinary and cultural backgrounds, creating a basis on which a further comparison between different local knowledge systems in relation to genomic practices will be feasible.

This book provides insights on research into the social, political and ethical aspects of genomics, and reflects the bioethical experiences of researchers from Japan, China, the Philippines, Thailand, Taiwan, Pakistan, India and Malaysia. The subjects of discussion vary from genetics in China to religious perspectives on cloning and genetic therapy. Themes include the commercial and medical application of new bioengineering technologies, such as the impact of preventive genetic medicine, genetic counselling, genetically modified organisms [GMOs] and stem-cell research on wealth distribution, cultural traditions, social well-being, and political and legal regulations and institutions. In the study of bioengineering in Asia, various perspectives were brought together at a concrete research level. The authors tried to avoid macro-concepts incorporated bydichotomies of East and West and to acquire new insights into the relationship between local knowledge systems and cultures and interests groups on the one hand and the constellation of various interests of scientific research, governments and MNCs on the other.

This book is an excellent introductory text describing the use of bioinformatics to analyze genomic and post-genomic data. It has been translated from the original popular French edition, which was based on a course taught at the well-respected Ecole Polytechnique in Palaiseau. This edition has been fully revised and updated by the authors.

After a brief introduction to gene structure and sequence determination, it describes the techniques used to identify genes, their protein-coding sequences and regulatory regions. The book discusses the methodology of comparative genomics, using information from different organisms to deduce information about unknown sequences. There is a comprehensive chapter on structure prediction, covering both RNA and protein. Finally, the book describes the complex networks of RNA and protein that exist within the cell and their interactions, ending with a discussion of the simulation approaches that can be used to model these networks.

Praise from the reviews:

""In context of the new developments the genomic era has brought, Bioinformatics: Genomics and Post-Genomics becomes a fundamental and indispensable resource for undergraduate and early graduate students...insightfully authored...will immensely help students...in establishing important foundations while shaping their careers."" NEWSLETTER, BRITISH SOCIETY OF CELL BIOLOGY

'Species' are central to understanding the origin and dynamics of biological diversity; explaining why lineages split into multiple distinct species is one of the main goals of evolutionary biology. However the existence of species is often taken for granted, and precisely what is meant by species and whether they really exist as a pattern of nature has rarely been modelled or critically tested. This novel book presents a synthetic overview of the evolutionary biology of species, describing what species are, how they form, the consequences of species boundaries and diversity for evolution, and patterns of species accumulation over time. The central thesis is that species represent more than just a unit of taxonomy; they are a model of how diversity is structured as well as how groups of related organisms evolve. The author adopts an intentionally broad approach, stepping back from the details to consider what species constitute, both theoretically and empirically, and how we detect them, drawing on a wealth of examples from microbes to multicellular organisms.

This book focuses on the development and application of the latest advanced data mining, machine learning, and visualization techniques for the identification of interesting, significant, and novel patterns in gene expression microarray data.
Biomedical researchers will find this book invaluable for learning the cutting-edge methods for analyzing gene expression microarray data. Specifically, the coverage includes the following state-of-the-art methods:
- Gene-based analysis: the latest novel clustering algorithms to identify co-expressed genes and coherent patterns in gene expression microarray data sets
- Sample-based analysis: supervised and unsupervised methods for the reduction of the gene dimensionality to select significant genes. A series of approaches to disease classification and discovery are also described
- Pattern-based analysis: methods for ascertaining the relationship between (subsets of) genes and (subsets of) samples. Various novel pattern-based clustering algorithms to find the coherent patterns embedded in the sub-attribute spaces are discussed
- Visualization tools: various methods for gene expression data visualization. The visualization process is intended to transform the gene expression data set from high-dimensional space into a more easily understood two- or three-dimensional space.

The results obtained from, and techniques used in, different fields of science, such as mathematics, physics and biology are selected, gathered and analyzed to provide an introduction to the developing field of research into the nonlinear physics of DNA. The DNA molecule, which has been traditionally studied by techniques developed through molecular biology, is considered here rather from a physicist's viewpoint, as a nonlinear dynamical system. This is a complimentary way of looking at the molecule, and is arrived at following both a theoretical analysis of interactions and motions in DNA, and as a result of interpretation of experimental data. It is shown that this "nonlinear physics" approach allows one to explain some of the mechanisms of DNA functioning, and that it can offer possibilities in the study and interpretation of genetic codes. This text introduces all those involved in the study of the DNA molecule from a traditional, molecular biology viewpoint, to some of the results and developments which have been realized using a nonlinear physics approach, and should also allow biologists, biochemists and physicists to continue to develop non-traditional techniques of investigating the DNA molecule.

Modern DNA microarray technologies have evolved over the past 25 years to the point where it is now possible to take many million measurements from a single experiment. These two volumes, Parts A & B in the Methods in Enzymology series provide methods that will shepard any molecular biologist through the process of planning, performing, and publishing microarray results.
Part A starts with an overview of a number of microarray platforms, both commercial and academically produced and includes wet bench protocols for performing traditional expression analysis and derivative techniques such as detection of transcription factor occupancy and chromatin status. Wet-bench protocols and troubleshooting techniques continue into Part B. These techniques are well rooted in traditional molecular biology and while they require traditional care, a researcher that can reproducibly generate beautiful Northern or Southern blots should have no difficulty generating beautiful array hybridizations.
Data management is a more recent problem for most biologists. The bulk of Part B provides a range of techniques for data handling. This includes critical issues, from normalization within and between arrays, to uploading your results to the public repositories for array data, and how to integrate data from multiple sources. There are chapters in Part B for both the debutant and the expert bioinformatician.
- Provides an overview of platforms
- Includes experimental design and wet bench protocols
- Presents statistical and data analysis methods, array databases, data visualization and meta analysis

A thoroughly updated version of the successful first edition with a new chapter on Real-Time PCR, more prokaryotic applications, and more detail in the complex mutagenesis sections. Information on PCR applications in genomics and proteomics have been expanded and integrated throughout the text. There is also advice on available products and specific pointers to the most appropriate methods. As with the first edition, this will be an ideal practical introduction and invaluable guide to PCR and its applications.

Despite rapidly expanding interest in potential applications of surrogate tissue analysis and intense competition to identify and validate biomarkers in appropriate surrogate tissues, very few peer reviewed publications describing the use of this approach have appeared in the scientific press. One of the first publications on this topic, Surrogate Tissue Analysis: Genomic, Proteomic, and Metabolomic Approaches describes initial applications and considerations for "omic" technologies in the field of surrogate tissue analysis. Highlighting important issues to consider when conducting profiling studies to identify novel biomarkers, the first section covers transcriptional approaches in surrogate tissues. It provides a review of important issues in peripheral blood profiling, summarizes results achieved when evaluations of various blood preparation platforms are used for the purpose of transcriptional profiling, and covers the relatively novel application of transcriptional profiling in neurological and oncological disease settings. The second section focuses on proteomic and protein-based methods for identifying markers in surrogate tissues, highlighting immunoassay and mass-spectrometry approaches for assessment of proteins in serum and other fluids, with a focus on the implications of protein-based biomarkers for detecting and monitoring early stages of cancer. The third section explores metabolomic approaches along with other novel molecular screens that can be applied in surrogate tissues to find biomarkers, and examines in detail the rapid development of metabolomics into a powerful technique for biomarker identification. The authors conclude with coverage of regulatory considerations, economic impact, and pan-omic strategies which will undoubtedly impact surrogate tissue analysis in the future. They explore current concepts in pan-omic approaches during drug development where a compendium of data generated by multiple profiling approaches are assessed and evaluated with its impact on the field of systems biology. The last chapter rounds out the coverage with a brief look ahead towards future analytical issues that will likely arise in the field of surrogate tissue analysis. The book is both an introduction to the various "omic" technologies in this young field and a fundamental reference for scientists interested in identifying biomarkers in surrogate tissues.

This book is dedicated to the multiple aspects, that is, biological, physical and computational of DNA and RNA molecules. These molecules, central to vital processes, have been experimentally studied by molecular biologists for five decades since the discovery of the structure of DNA by Watson and Crick in 1953. Recent progresses (e.g. use of DNA chips, manipulations at the single molecule level, availability of huge genomic databases...) have revealed an imperious need for theoretical modelling. Further progresses will clearly not be possible without an integrated understanding of all DNA and RNA aspects and studies.

The book is intended to be a desktop reference for advanced graduate students or young researchers willing to acquire a broad interdisciplinary understanding of the multiple aspects of DNA and RNA. It is divided in three main sections:

The first section comprises an introduction to biochemistry and biology of nucleic acids. The structure and function of DNA are reviewed in R. Lavery's chapter. The next contribution, by V. Fritsch and E. Westhof, concentrates on the folding properties of RNA molecules. The cellular processes involving these molecules are reviewed by J. Kadonaga, with special emphasis on the regulation of transcription. These chapters does not require any preliminary knowledge in the field (except that of elementary biology and chemistry).

The second section covers the biophysics of DNA and RNA, starting with basics in polymer physics in the contribution by R. Khokhlov. A large space is then devoted to the presentation of recent experimental and theoretical progresses in the field of single molecule studies. T. Strick's contribution presents a detailed description of the various micro-manipulation techniques, and reviews recent experiments on the interactions between DNA and proteins (helicases, topoisomerases, ...). The theoretical modeling of single molecules is presented by J. Marko, with a special attention paid to the elastic and topological properties of DNA. Finally, advances in the understanding of electrophoresis, a technique of crucial importance in everyday molecular biology, are exposed in T. Duke's contribution.

The third section presents provides an overview of the main computational approaches to integrate, analyse and simulate molecular and genetic networks. First, J. van Helden introduces a series of statistical and computational methods allowing the identification of short nucleic fragments putatively involved in the regulation of gene expression from sets of promoter sequences controlling co-expressed genes. Next, the chapter by Samsonova et al. connects this issue of transcriptional regulation with that of the control of cell differentiation and pattern formation during embryonic development. Finally, H. de Jong and D. Thieffry review a series of mathematical approaches to model the dynamical behaviour of complex genetic regulatory networks. This contribution includes brief descriptions and references to successful applications of these approaches, including the work of B. Novak, on the dynamical modelling of cell cycle in different model organisms, from yeast to mammals.

. Provides a comprehensive overview of the structure and function of DNA and RNA at the interface between physics, biology and information science.

Research into DNA and the development of powerful techniques to produce DNA profiles enable experts to appear in court and give compelling. scientific evidence in many types of case. This book gives the legal practitioner a complete account of the issues involved in taking DNA evidence into court. It helps lawyers to ask important and probing questions when faced with such evidence in court. This second edition has been thoroughly updated to take account of recent legislation and case law.

This book explores the current status of proteomics, an exciting new discipline, which is less than 10 years old. This new field has rapidly grown into a major commercial and research enterprise with great prospects for dramatically advancing our knowledge of basic biological and disease processes. The contributors to this book are an international panel of proteomics experts, who review and discuss the current status of specific technologies and approaches.
Proteomics represents an exciting new way to pursue biological and biomedical science at an unprecedented pace. Proteomics takes a broad, comprehensive, systematic approach to understanding biology that is generally unbiased and not dependent upon existing knowledge. The major components of proteomics from basic discovery using a range of alternative analytical methods to discovery validation and use for clinical applications are discussed. State-of-the-art protein profiling methods include high resolution two-dimensional gels, two-dimensional differential in-gel electrophoresis, LC-MS and LC-MS/MS using accurate mass tags, and protein identifications of proteins from gels using mass spectrometry methods are discussed in depth. Other chapters describe comprehensive characterization of proteomes using electrophoretic prefractionation and analyses of sub-proteomes based on specific posttranslational modifications including the phospho-proteome, the glyco-proteome, and nitrated proteins. These conventional proteome analysis chapters are complemented by discussion of emerging technologies and approaches such as affinity based biosensor proteomics as well as the use of protein microarrays, microfluidics and nanotechnology. Strategies for improving throughput by automation are also discussed. Additional chapters address the application of current proteome techniques to clinical problems and the availability of protein expression library resources for proteome studies.
. Authored by international experts in the field
. Covers a wide range of topics including 2-D gels, global proteomics using accurate mass tags, global proteomics using electrophoretic prefractionation, microfluidics, and nanotechnology
. Includes state-of-the-art protein profiling methods, and emerging technologies"

Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same underlying principles as gene expression microarrays, many of the analyses in the text also apply to microarray-based gene expression and histone modification (ChIP-on-chip) studies. After introducing basic statistics, the book describes wet-bench technologies that produce the data for analysis and explains how to preprocess the data to remove systematic artifacts resulting from measurement imperfections. It then explores differential methylation and genomic tiling arrays. Focusing on exploratory data analysis, the next several chapters show how cluster and network analyses can link the functions and roles of unannotated DNA elements with known ones. The book concludes by surveying the open source software (R and Bioconductor), public databases, and other online resources available for microarray research. Requiring only limited knowledge of statistics and programming, this book helps readers gain a solid understanding of the methodological foundations of DNA microarray analysis.

How genes are not the only basis of heredity-and what this means for evolution, human life, and disease For much of the twentieth century it was assumed that genes alone mediate the transmission of biological information across generations and provide the raw material for natural selection. In Extended Heredity, leading evolutionary biologists Russell Bonduriansky and Troy Day challenge this premise. Drawing on the latest research, they demonstrate that what happens during our lifetimes--and even our grandparents' and great-grandparents' lifetimes-can influence the features of our descendants. On the basis of these discoveries, Bonduriansky and Day develop an extended concept of heredity that upends ideas about how traits can and cannot be transmitted across generations. By examining the history of the gene-centered view in modern biology and reassessing fundamental tenets of evolutionary theory, Bonduriansky and Day show that nongenetic inheritance-involving epigenetic, environmental, behavioral, and cultural factors-could play an important role in evolution. The discovery of nongenetic inheritance therefore has major implications for key questions in evolutionary biology, as well as human health. Extended Heredity reappraises long-held ideas and opens the door to a new understanding of inheritance and evolution.

A common approach to understanding the functional repertoire of a genome is through functional genomics. With systems biology burgeoning, bioinformatics has grown to a larger extent for plant genomes where several applications in the form of protein-protein interactions (PPI) are used to predict the function of proteins. With plant genes evolutionarily conserved, the science of bioinformatics in agriculture has caught interest with myriad of applications taken from bench side to in silico studies. A multitude of technologies in the form of gene analysis, biochemical pathways and molecular techniques have been exploited to an extent that they consume less time and have been cost-effective to use. As genomes are being sequenced, there is an increased amount of expression data being generated from time to time matching the need to link the expression profiles and phenotypic variation to the underlying genomic variation. This would allow us to identify candidate genes and understand the molecular basis/phenotypic variation of traits. While many bioinformatics methods like expression and whole genome sequence data of organisms in biological databases have been used in plants, we felt a common reference showcasing the reviews for such analysis is wanting. We envisage that this dearth would be facilitated in the form of this Springer book on Agricultural Bioinformatics. We thank all the authors and the publishers Springer, Germany for providing us an opportunity to review the bioinformatics works that the authors have carried in the recent past and hope the readers would find this book attention grabbing.

Combining elements of biochemistry, molecular biology, and immunology, artificial DNA can be employed in a number of scientific disciplines. Some of the varied applications include site-specific mutagenesis, hybridization, amplification, protein engineering, anti-sense technology, DNA vaccines, protein vaccines, recombinant antibodies, screening for genetic and pathogenic diseases, development of materials with new biochemical and structural properties, and many more.

Artificial DNA: Methods and Applications introduces the concept of artificial DNA that has been rationally designed and explains how it may be exploited in order to develop products that will achieve your intended purpose. The first part of the book covers methods of oligonucleotide synthesis and direct applications of synthetic DNA. The second part describes methods of gene assembly from synthetic oligonucleotides and applications of synthetic genes. The authors also discuss the different trends and future developments within each application area .

With state-of-the art research, the contributing authors describe how to engineer proteins using rational and semi-rational design to exhibit the desired traits and detail the various amplification reactions and hybridization techniques for modeling evolution and for use in basic research. The only text devoted to this subject, Artificial DNA offers a comprehensive review that allows you to understand the strategy, design, and applications of synthetic oligonucleotides.

Updated and revised, this thorough volume is organized such that it begins with techniques related to the study of chromatin structure. Protocols for reconstitution of chromatin on solid supports for analysis, preparation of positioned mononucleosomes, techniques to study premature chromatin condensation and the use of comparative genomic hybridization to assess genomic aberration are included as well. Novel techniques for imaging chromatin using atomic force microscopy and the isolation of specific genomic regions using engineered DNA binding molecules generated by CRISPR are then examined. That section is followed by protocols to analyze DNA and histone modifications, while the third section includes methods to study DNA replication and repair, in the context of chromatin. Last but not least, protocols for studying chromatin and its relation with transcriptional regulation are presented in a fourth section. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Chromatin Protocols, Third Edition aims to help researchers in facilitating in-depth molecular analysis of various aspects of chromatin structure and function.

This series encompasses design, synthesis, application, and analytical methods (including clinical and in vitro) for the study of these critical interactions. As our understanding of the genome and proteome expands, general developments in the field of DNA sequence specific interaction are likely to play an increasingly important role. Accordingly, manuscripts have been solicited from experts covering a diverse range of fields, reflecting the cross-disciplinary and dynamic nature of the series.

Volume 4 describes work on the modification of DNA by AT specific anticancer drugs, DNA alkylation events which involve metabolite generation, DNA sequence recognition by two selective binders, bulged DNA microenvironments as molecular targets, DNA sequence specific binding by short peptides and the analysis of DNA-protein interactions using DNase I footprinting methodology.

Features include:
Expert contributors from the Biomedical world
Emerging areas of drug design and therapeutic applications
Nucleic acid-protein interactions
Color graphics of molecular modeling analyses
New and emerging methodologies
"

Supramolecular chemistry is the outburst topic of the next generation of science. While the majority of biomedical research efforts to date have centered on utilizing well-known polymeric materials, the recent progress in supramolecular chemistry has introduced a fascinating new field of macromolecular architecture.

Supramolecular Design for Biological Applications focuses on modulating, altering, and mimicking biological functions with a new family of molecular assemblies. The authors provide innovative ideas and concepts for developing novel biomaterials that could be applied in diagnosis, drug carrier operations, and environmental protection. This reference is comprehensive, presenting principles, applications, recent advances, and future directions. Each chapter includes clear and informative illustrations of molecular architectures. The writing is scientific but allows for easy comprehension of the differences in molecular interactions, dimensions, and supramolecular architecture.

Supramolecular Design for Biological Applications will advance the understanding of supramolecular-structured biomaterials and associated issues regarding biological functions. By explaining recent trends and molecular interactions, this book will enable you to initiate new research for nano-scale science and technology in the 21st century.

In today's world, we are witnessing simultaneous breakthroughs in reproductive technologies, genomics, and molecular biology. Advances in molecular genetic technology and understanding of the bovine genome have led to the development of tools that can be used to enhance profitability on cow-calf enterprises. Factors Affecting Calf Crop: Biotechnology of Reproduction provides a detailed compilation of current and forthcoming technology for managing reproduction in cattle.

The book discusses topics such as: approved techniques for controlling the estrous cycle in cattle; managing follicular growth with progesterone, estrogens, and prostaglandins; freezing, thawing, and transfer of cattle embryos; application of embryo transfer to the beef cattle industry; embryo transfer in topically adapted cattle; new factors affecting bull fertility; embryo collection and utilization technology, in vitro fertilization, somatic cell cloning, and genetic technologies; uses of real-time ultrasound; and sexed semen.

Over 25 leading animal scientists have combined their expertise to produce the first single-source reference that covers successful reproductive techniques that will, most likely, be the wave of the future. Expansive in scope, the book addresses current biotechnologies as they impact the production of beef cattle. Written at a level to appeal to the researcher, commercial producer, or student, Factors Affecting Calf Crop: Biotechnology of Reproduction presents you with a wealth of technologies applicable to animal agriculture.