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.

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.

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.

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.

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.

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.

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.

Jim Watson is one of the world's most famous scientists. A principal architect and visionary of modern biology, a Nobel Prize winner at 34, and best selling author at 40 (The Double Helix), he has been a fearless commentator on the march of DNA science and its impact on society for over twenty years. This sparkling collection was a bestseller in hardcover, and, for the paperback edition, the author has added three newly written essays containing his reflections on the survival value of pursuing happiness, advice for new college graduates, and his thoughts on the completion of a draft of the human genome, a project he initiated over ten years ago. Published/distributed in conjunction with Oxford University Press. All orders from the UK and Australia must be directed to: Oxford University Press Saxon Way West Corby, Northants NN18 9ES United Kingdom Tel: 01536-454534 Fax: 01536-746337 e-mail: [email protected]

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 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.

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.

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.

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.

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.

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

Epigenetics refers to heritable patterns of gene expression which do not depend on alterations of genomic DNA sequence.

This book provides a state-of-the-art account of a few selected hot spots by scientists at the edge in this extremely active field. It puts special emphasis on two main streams of research. One is the role of post-translational modifications of proteins, mostly histones, on chromatin structure and accessibility. The other one deals with parental genomic imprinting, a process which allows to express a few selected genes from only one of the parental allele while extinguishing the other.

At present, there is growing interest in high pressure bioscience and biotechnology. The activities are nearly equally distributed between fundamental research and applications. With original work on marine and terrestrial microbiology, biochemistry, molecular biology, deep-sea diving, food science and other industrial applications, this book covers the whole range of current high pressure bioscience. Advances in High Pressure Bioscience and Biotechnology will be welcomed by all industrial and academic researchers who are working in this field.

This book presents practical approaches for the analysis of data from gene expression microarrays. Each chapter describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. Methods cover all aspects of statistical analysis of microarrays, from annotation and filtering to clustering and classification. Chapters are written by the developers of the software. All software packages described are free to academic users. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences. Some chapters describe simple menu-driven software in a user-friendly fashion, and are designed to be accessible to microarray data analysts without formal quantitative training. Most chapters are directed at microarray data analysts with master-level training in computer science, biostatistics or bioinformatics. A minority of more advanced chapters are intended for doctoral students and researchers. The team of editors is from the Johns Hopkins Schools of Medicine and Public Health and has been involved with developing methods and software for microarray data analysis since the inception of this technology. Giovanni Parmigiani is Associate Professor of Oncology, Pathology and Biostatistics. He is the author of the book on "Modeling in Medical decision Making," a fellow of the ASA, and a recipient of the Savage Awards for Bayesian statistics. Elizabeth S. Garrett is Assistant Professor of Oncology and Biostatistics, and recipient of the Abbey Award for statistical education. Rafael A Irizarry is Assistant Professor of Biostatistics, and recipient of the Noether Award for non-parametric statistics. Scott L. Zeger is Professor and chair of Biostatistics. He is co-author of the book "Longitudinal Data Analysis," a fellow of the ASA and recipient of the Spiegelman Award for public health statistics.

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.

The field of DNA repair is vast and advancing rapidly. Recent investigations have begun to focus on the involvement of chromatin in the repair of broken DNA. Although I have no doubt that many breakthroughs in our understanding of chromatin, chromatin regulation, and DNA repair lie in our future, presently this is a new line in inquiry. As such there are many, many unanswered questions. Indeed, most of the correct questions have probably not even been asked yet. Here I have attempted to present a review of some of the current body of knowledge that may prove relevant to understanding the role of chromatin in DNA repair. Because the volume of research, and the relevant findings, come from a staggering array of labs, systems, and ideas I have focused primarily on findings developed from the study of the budding yeast Saccharomyces cerevisiae. Unfortunately, this means that I have left out a great deal of information. It is my hope, however, that the information I do detail, particularly in Chapter 1, will give a flavor for the scope of the problem and perhaps highlight some of the interesting directions this field is taking, or may one day take. I would also point out that the primary research that is presented herein is not in any way meant to represent the comprehensive scope of research being performed. To understand DNA repair will require investigation from innumerable labs, performed by innumerable researchers, moving in unexpected directions.

A comprehensive account of genomic rearrangement, focusing on the mechanisms of inversion, translocation, gene and genome duplication and gene transfer and on the patterns that result from them in comparative maps. Includes analyses of genomic sequences in organelles, prokaryotes and eukaryotes as well as comparative maps of the nuclear genomes in higher plants and animals. The book showcases a variety of algorithmic and statistical approaches to rearrangement and map data.

In 1957 two young scientists, Matthew Meselson and Frank Stahl, produced a landmark experiment confirming that DNA replicates as predicted by the double helix structure Watson and Crick had recently proposed. It also gained immediate renown as a "most beautiful" experiment whose beauty was tied to its simplicity. Yet the investigative path that led to the experiment was anything but simple, Frederic L. Holmes shows in this masterful account of Meselson and Stahl's quest. This book vividly reconstructs the complex route that led to the Meselson-Stahl experiment and provides an inside view of day-to-day scientific research--its unpredictability, excitement, intellectual challenge, and serendipitous windfalls, as well as its frustrations, unexpected diversions away from original plans, and chronic uncertainty. Holmes uses research logs, experimental films, correspondence, and interviews with the participants to record the history of Meselson and Stahl's research, from their first thinking about the problem through the publication of their dramatic results. Holmes also reviews the scientific community's reception of the experiment, the experiment's influence on later investigations, and the reasons for its reputation as an exceptionally beautiful experiment.

Since the advent of the Human Genome Project, an increasing number of disease-causing genes have been discovered and, in some cases, genetic tests developed. However, this is only the first step. The second, much larger phase is the analysis of the total sequence. What does the rest of the DNA do? The answer to this question will be determined by computer prediction, expression profiling, and comparative genome analysis. Comparative Genomics covers such topics as identifying novel genes, determining gene function, control sequences, and developmental switches. The book aims to demonstrate how different approaches taken with model organisms, such as mutation studies, expression profiling of cDNAs, in situ localization of message and comparative genome analysis (both at the gene and nucleotide level) will aid in our understanding of the results coming out of the Human Genome Project and contribute significantly to our understanding of how genes function.

A Beginner's Guide to Microarrays addresses two audiences - the core facility manager who produces, hybridizes, and scans arrays, and the basic research scientist who will be performing the analysis and interpreting the results. User friendly coverage and detailed protocols are provided for the technical steps and procedures involved in many facets of microarray technology, including:

-Cleaning and coating glass slides,
-Designing oligonucleotide probes,
-Constructing arrays for the detection and quantification of different bacterial species,
-Preparing spotting solutions,
-Troubleshooting spotting problems,
-Setting up and running a core facility,
-Normalizing background signal and controlling for systematic variance,
-Designing experiments for maximum effect,
-Analyzing data with statistical procedures,
-Clustering data with machine-learning protocols.