The birth and the development of molecular biology and, subsequently, of genetic engineering and biotechnology cannot be separated from the advancements in our knowledge of the genetics, biochemistry and physiology of bacteria and bacter- phages. Also most of the tools employed nowadays by biotechnologists are of bacterial (or bacteriophage) origin and the playground for most of the DNA manipulations still remains within bacteria. The relative simplicity of the bacterial cell, the short gene- tion times, the well defined and inexpensive culturing conditions which characterize bacteria and the auto-catalytic process whereby a wealth of in-depth information has been accumulated throughout the years have significantly contributed to generate a large number of knowledge-based, reliable and exploitable biological systems. The subtle relationships between phages and their hosts have produced a large amount of information and allowed the identification and characterization of a number of components which play essential roles in fundamental biological p- cesses such as DNA duplication, recombination, transcription and translation. For instance, to remain within the topic of this book, two important players in the or- nization of the nucleoid, FIS and IHF, have been discovered in this way. Indeed, it is difficult to find a single fundamental biological process whose structural and functional aspects are better known than in bacteria.

Significant advancements have been made in the study of chromatin structure and function over the past fifty years but none as spectacular as those made in the last decade due to the development of novel techniques and the ability to sequence large stretches of DNA. In Chromatin Protocols, Second Edition, expert researchers delineate these cutting-edge techniques via step-by-step laboratory methods and protocols, which encompass a wide array of topics from the isolation of nucleosomes, assembly of nucleosomes and study of the basic chromatin structure to detailed analysis of histone modifications and chromatin function. Written in the highly successful Methods in Molecular Biology (TM) series style, chapters include brief introductions to the subjects, lists of the necessary materials and reagents, readily reproducible protocols, and Notes sections which highlight tips on troubleshooting and avoiding known pitfalls. Comprehensive and up-to-date, Chromatin Protocols, Second Edition is a valuable tool for scientists studying various aspects of chromatin function and an ideal guide to aid in the development of new techniques as well as new ideas in the field of chromatin biology.

Bioinformatics is a new and fast expanding area of biology encompassing the organization, analysis and interpretation of the huge amount of data emerging from sequencing and genome projects. Major new programs, software and internet facilities have evolved recently that enable bioinformatic analysis at the whole genome level and more novel technologies are currently being developed. Written by experts in the field, this concise yet informative volume covers all aspects of bioinformatics pertaining to genomic studies. It is an essential book for anyone involved in genomic science or bioinformatics.

Structural Genomics and Drug Discovery: Methods and Protocols focuses on high throughput structure determination methods and how they can be applied to lay the groundwork for structure aided drug discovery. The methods and protocols that are described can be applied in any laboratory interested in using detailed structural information to advance the initial stages of drug discovery. 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 key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Structural Genomics and Drug Discovery: Methods and Protocols seeks to aid scientists in the further study into structural genomics approach as an efficient initial step toward drug discovery and the methods described will be useful to anyone interested in moving in this direction.

Eukaryotic DNA Damage Surveillance and Repair contains chapters from experts in the field of DNA damage detection, repair, and cell cycle control. The work reviews current understanding of how different types of DNA damage are detected and focuses on how these surveillance mechanisms are coupled to processes of DNA repair, cell cycle control, and apoptosis.
The title will be of interest to undergraduate/postgraduate students and academics alike.

Handbook of Epigenetics: The New Molecular and Medical Genetics, Third Edition provides a comprehensive analysis of epigenetics, from basic biology to clinical application. This new edition has been fully revised to cover the latest and evolving topics in epigenetics, with chapters updated and new chapters added on topics such as single-cell epigenetics, DNA methylation clocks in age-related diseases, transposable elements and epigenetics, X chromosome inactivation, and the epigenetics of drug addiction, among other topics. Throughout this edition, greater emphasis falls on epigenomic analyses and incorporating multi-omics approaches rather than gene-specific analyses. In addition, this edition has also been enhanced with step-by-step instructions in research methods, as well as easy-to-digest disease case studies and clinical trials that provide context and applied examples of recent advances in disease understanding and epigenetic therapeutics. These features empower researchers to reproduce the approaches and studies discussed and aid clinical translation. Live links across chapters tie in relevant external datasets and resources.

After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.

This book facilitates the introduction of SAGE into the laboratory and provides a framework for interpreting and comparing data derived from SAGE experiments. SAGE studies encompass 50,000 tags and can provide detailed knowledge of the 2000 most highly expressed genes in the tissue sample. The SAGE protocols presented are detailed, fully annotated, and tested, and are all written by experienced SAGE researchers from around the world.

Disorders of Protein Synthesis, Volume 132 in the Advances in Protein Chemistry and Structural Biology series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors.

Fungal comparative genomics started in 2000 by the genome sequencing of several yeast species. Since then, over 30 fungal genome sequences have become available. This set represents a huge evolutionary divergence, but also contains closely related genomes. This volume describes how to use this set of genomes to trace events in genome evolution, to extract information about highly conserved and less conserved sequence elements, and to develop novel methods in genomics.

Eminent scientists have contributed comprehensive reviews on all aspects of the genomics of Rhodococcus, Mycobacteria, Streptomyces and other organisms. The authors provide an insight into the many facets of large scale functional investigation in a variety of bacteria with the explicit goal to find common rules in the dynamic and structural organization of these organisms. This volume is the definitive guide to current research in this increasingly important area and is essential reading for all microbiologists, biotechnologists, and genome scientists.

As the emerging field of proteomics continues to expand at an extremely rapid rate, the relative quantification of proteins, targeted by their function, becomes its greatest challenge. Complex analytical strategies have been designed that allow comparative analysis of large proteomes, as well as in depth detection of the core proteome or the interaction network of a given protein of interest. In Functional Proteomics: Methods and Protocols, expert researchers describe the latest protocols being developed to address the problems encountered in high-throughput proteomics projects, with emphasis on the factors governing the technical choices for given applications. The case studies within the volume focus on the following three crucial aspects of the experimental design: 1) the strategy used for the selection, purification and preparation of the sample to be analyzed by mass spectrometry, 2) the type of mass spectrometer used and the type of data to be obtained from it, and 3) the method used for the interpretation of the mass spectrometry data and the search engine used for the identification of the proteins in the different types of sequence data banks available. As a part of the highly successful Methods in Molecular Biology (TM) series, the chapters compile step-by-step, readily reproducible laboratory protocols, lists of the necessary materials and reagents, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, Functional Proteomics: Methods and Protocols is an ideal resource for all scientists pursuing this developing field and its multitudinous data.

This volume provides an 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.

Directed evolution comprises two distinct steps that are typically applied in an iterative fashion: (1) generating molecular diversity and (2) finding among the ensemble of mutant sequences those proteins that perform the desired fu- tion according to the specified criteria. In many ways, the second step is the most challenging. No matter how cleverly designed or diverse the starting library, without an effective screening strategy the ability to isolate useful clones is severely diminished. The best screens are (1) high throughput, to increase the likelihood that useful clones will be found; (2) sufficiently sen- tive (i. e. , good signal to noise) to allow the isolation of lower activity clones early in evolution; (3) sufficiently reproducible to allow one to find small improvements; (4) robust, which means that the signal afforded by active clones is not dependent on difficult-to-control environmental variables; and, most importantly, (5) sensitive to the desired function. Regarding this last point, almost anyone who has attempted a directed evolution experiment has learned firsthand the truth of the dictum "you get what you screen for. " The protocols in Directed Enzyme Evolution describe a series of detailed p- cedures of proven utility for directed evolution purposes. The volume begins with several selection strategies for enzyme evolution and continues with assay methods that can be used to screen enzyme libraries. Genetic selections offer the advantage that functional proteins can be isolated from very large libraries s- ply by growing a population of cells under selective conditions.

This book presents the current state of the art in peanut genomics, focusing particularly on the latest genomic findings, tools and strategies employed in genome sequencing, transcriptomes and analysis, availability of public and private genomic resources, and ways to maximize the use of this information in peanut breeding programs. Further, it demonstrates how advances in plant genomics can be used to improve crop breeding. The peanut or groundnut (Arachis hypogaea L. Millsp) is a globally important grain legume and oilseed crop, cultivated in over 100 countries and consumed in the form of roasted seeds, oil and confectionary in nearly every country on Earth. The peanut contributes towards achieving food and nutritional security, in addition to financial security through income generation; as such, it is also vital to the livelihood of the poor in the developing world. There have been significant advances in peanut research, especially in the last five years, including sequencing the genome of both diploid progenitors, and the availability of tremendous transcriptome resources, large-scale genomic variations that can be used as genetic markers, genetic populations (bi- and multiparent populations and germplasm sets), marker-trait associations and molecular breeding products. The immediate availability of the genome sequence for tetraploid cultivated peanuts is the most essential genomic resource for achieving a deeper understanding of peanut traits and their use in breeding programs.

Genomics is a new and fast expanding area of biology encompassing high throughput or large scale experimentation at the whole genome level, and the organization, analysis and interpretation of the huge amount of data emerging from genome projects. Major new technologies have evolved recently that enable experimentation at the whole genome level, and more novel technologies are currently being developed. This volume describes in detail the new technology necessary to study the entire genome in a holistic manner and all the high throughput and large-scale experimental methodologies currently being used in genomic science. In addition the authors describe the progress of the newest technologies that are currently being developed. Written by experts in the field, this concise yet informative volume covers all aspects of technology pertaining to genomic studies. It is an essential book for anyone involved in genomic science.

This volume describes high-throughput approaches to a series of robust, established methodologies in molecular genetic studies of population samples. Such developments have been essential not only to linkage and association studies of single-gene and complex traits in humans, animals and plants, but also to the characterisation of clone banks, for example in mapping of genomes. Chapters have been written by developers or highly experienced end-users concerned with a diverse array of biological applications. The book should appeal to any researcher for whom costs and throughput in their genetics laboratory have become an issue.

Plasmids are fascinating entities which can replicate autonomously in bacterial, archaeal, and eukaryotic cells. They profit from the cellular environment of the host but can also carry a rich diversity of genes which can be beneficial for the host. Plasmids confer the ability to degrade organic compounds and to fix nitrogen. In addition, plasmids carry antibiotic resistance genes and their spread in pathogenic bacteria is of great medical importance. Plasmids are used in molecular studies of various organisms with ramifications in synthetic biology, medicine, ecology, and evolution, as well as basic research in molecular and structural biology. Written by acknowledged experts in the field, this volume provides an up-to-date treatment of the structure, function, and application of plasmids, with a particular emphasis on current and future trends. The book is aimed primarily at research scientists, graduate students, and professional scientists, but will also be of great interest to all

As microarray technology has matured, data analysis methods have advanced as well. Methods Of Microarray Data Analysis III is the third book in this pioneering series dedicated to the existing new field of microarrays. While initial techniques focused on classification exercises (volume I of this series), and later on pattern extraction (volume II of this series), this volume focuses on data quality issues. Problems such as background noise determination, analysis of variance, and errors in data handling are highlighted.

Three tutorial papers are presented to assist with a basic understanding of underlying principles in microarray data analysis, and twelve new papers are highlighted analyzing the same CAMDA'02 datasets: the Project Normal data set or the Affymetrix Latin Square data set. A comparative study of these analytical methodologies brings to light problems, solutions and new ideas. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state of art of microarray data analysis.

As researchers continue to make enormous progress in mapping disease genes, exciting, novel, and complex analyses have emerged. In this book, scientists from around the world, who are leaders in this field, contribute their vast experience and expertise to produce a comprehensive and fascinating text for researchers and clinicians alike. They provide cutting-edge analysis of the most up-to-date and preeminent information available.

This second edition volume discusses the revolutionary development of faster and less expensive DNA sequencing technologies from the past 10 years and focuses on general technologies that can be utilized by a wide array of plant biologists to address specific questions in their favorite model systems. This book is organized into five parts. Part I examines the tools and methods required for identifying epigenetic and conformational changes at the whole-genome level. Part II presents approaches used to determine key aspects of a gene's function, such as techniques used to identify and characterize gene regulatory networks. This is followed by a discussion of tools used to analyze the levels of mRNA, mRNA translation rates and metabolites. Part III features a compilation of forward and reverse genetic approaches that include recent implementation of high-throughput sequencing in classical methodologies such as QTL mapping. The final two parts explore strategies to facilitate and accelerate the generation and testing of functional DNA elements and basic computational tools used to facilitate the use of systems biology approached by a broad spectrum of plant researchers. Written in the highly successful Methods of 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 key tips on troubleshooting and avoiding known pitfalls. Practical and timely, Plant Functional Genomics: Methods and Protocols, Second Edition highlights the latest developments in DNA sequencing technologies that are likely to continue shaping the future of functional genomics.

The data reference books for practicing scientists present key information for a major subject in one place. This edition has been divided into two parts, recombinant DNA and gene analysis, comprising a compendium of up-to-date methods available in molecular biology. Covering enzymes used for restriction, methylation and modification of nucleic acids, cloning vectors, hosts, genomes and genes as well as techniques such as blotting and hybridization, DNA sequencing, PCR methodology, labelling and separation of nucleic acids.;The edition also provides information on general chemicals and reagents and safety considerations.

In the eight years since the original publication of Molecular Biology Labfax, there has been a vast proliferation of molecular biology techniques. The Second Edition has been divided into two parts: Recombinant DNA, and Gene Analysis. Together they comprise a comprehensive collection of the most up-to-date methods available in molecular biology. This second volume of the two-part Second Edition provides key information on nucleic acid blotting and hybridization, DNA sequencing, PCR, labelingnucleic acids, electrophoresis, centrifugation, chemicals and reagents, and safety. Molecular Biology Labfax will be essential for scientists of all disciplines within the life sciences who use molecular biological techniques.
Key Features
* Provides most up-to-date information on techniques, sources, and equipment for anyone using molecular biological techniques
* Clearly presented information
* Divided into two parts which together comprise a complete collection of molecular biological methods

The field of DNA computation has flourished since the publication of Adleman's seminal article, in which he demonstrated for the first time how a computation may be performed at a molecular level by performing standard operations on a tube of DNA strands. Since Adleman's original experiment, interest in DNA computing has increased dramatically. This book provides a broad overview of the entire field of DNA computation, tracing its history and development. It contains detailed descripions of all major theoretical models and experimental results to date, which are lacking in existing texts. Potential future developments are also discussed. The book is a useful reference source for researchers and students, as well as an accessible introduction for people new to the field.

As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA conference plays a role in this evolving field by providing a forum in which investors can analyze the same data sets using different methods. Methods of Microarray Data Analysis IV is the fourth book in this series, and focuses on the important issue of associating array data with a survival endpoint. Previous books in this series focused on classification (Volume I), pattern recognition (Volume II), and quality control issues (Volume III).

In this volume, four lung cancer data sets are the focus of analysis. We highlight three tutorial papers, including one to assist with a basic understanding of lung cancer, a review of survival analysis in the gene expression literature, and a paper on replication. In addition, 14 papers presented at the conference are included. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state of the art of microarray data analysis.

Jennifer Shoemaker is a faculty member in the Department of Biostatistics and Bioinformatics and the Director of the Bioinformatics Unit for the Cancer and Leukemia Group B Statistical Center, Duke University Medical Center. Simon Lin is a faculty member in the Department of Biostatistics and Bioinformatics and the Manager of the Duke Bioinformatics Shared Resource, Duke University Medical Center.