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This comprehensive reference covers the comparative methodologyinvolved in studying molecular evolution. Providing a practicalintroduction to the role of bioinformatics in comparative genomics,this publication further discusses the basic technology used ingenome sequencing projects and provides an overview of genomestorage databases currently in use. This timely and cutting-edge text also: Reviews the basic principles of genomics and gene expressionanalysis Discusses analytic methods in proteomics andtranscriptomics Includes a comprehensive list of Web resource
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.
The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance. As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research. Edited by the leading international authorities in the field. David Balding - Department of Epidemiology & Public Health, Imperial College An advisor for our Probability & Statistics series, Professor Balding is also a previous Wiley author, having written Weight-of-Evidence for Forensic DNA Profiles, as well as having edited the two previous editions of HSG. With over 20 years teaching experience, he’s also had dozens of articles published in numerous international journals. Martin Bishop – Head of the Bioinformatics Division at the HGMP Resource Centre As well as the first two editions of HSG, Dr Bishop has edited a number of introductory books on the application of informatics to molecular biology and genetics. He is the Associate Editor of the journal Bioinformatics and Managing Editor of Briefings in Bioinformatics. Chris Cannings – Division of Genomic Medicine, University of Sheffield With over 40 years teaching in the area, Professor Cannings has published over 100 papers and is on the editorial board of many related journals. Co-editor of the two previous editions of HSG, he also authored a book on this topic.
Through comparative analysis, the genomes of a number of species are providing a deeper understanding of the human genome. This is highly useful in drug research, especially in the treatment of otherwise intractable conditions. Compiling first-hand descriptions of the pioneering achievements of prominent researchers, this text focuses on revolutionary advances in DNA-sequencing technology, new approaches to the organization and analysis of large phylogenetic data sets, new perspectives on evolution, and the development of novel antimicrobial drugs. This seminal volume demonstrates both the means and the fruits of cooperation across a number of fields, and in doing so lays the groundwork for continued progress.
The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology offers comprehensive, systematic coverage of the various techniques and methodologies currently available. Accomplished researcher Srinivas Aluru leads a team of experts from around the world to produce this groundbreaking, authoritative reference. With discussions ranging from fundamental concepts to practical applications, this book details the algorithms necessary to solve novel problems and manage the massive amounts of data housed in biological databases throughout the world. Divided into eight sections for convenient searching, the handbook covers methods and algorithms for sequence alignment, string data structures, sequence assembly and clustering, genome-scale computational methods in comparative genomics, evolutionary and phylogenetic trees, microarrays and gene expression analysis, computational methods in structural biology, and bioinformatics databases and data mining. The Handbook of Computational Molecular Biology is the first resource to integrate coverage of the broad spectrum of topics in computational biology and bioinformatics. It supplies a quick-reference guide for easy implementation and provides a strong foundation for future discoveries in the field.
While the complete sequencing of the genomes of model organisms such as a multitude of bacteria and archaea, the yeast Saccharomyces cerevisiae, the worm Caenorhabditis elegans, the fly Drosophila melanogaster, and the mouse and human genomes have received much public attention, the deciphering of plant genomeswas greatly lagging behind. Up to now, only two plant genomes, one of the model plant Arabidopsis thaliana and one of the crop species rice (Oryza sativa) have been sequenced, though a series of other crop genome sequencing projects are underway. Notwithstanding this public bias towards genomics of animals and humans, it is nevertheless of great importance for basic and applied sciences and industries in such diverse fields as agriculture, breeding in particular, evolutionary genetics, biotechnology, and food science to know the composition of crop plant genomes in detail. It is equally crucial for a deeper understanding of the molecular basis of biodiversity and synteny. The Handbook of Genome Mapping: Genetic and Physical Mapping is the first book on the market to cover these hot topics in considerable detail, and is set apart by its combination of genetic and physical mapping. Throughout, each chapter begins with an easy-to-read introduction, also making the book the first reference designed for non-specialists and newcomers, too. In addition to being an outstanding bench work reference, the book is an excellent textbook for learning and teaching genomics, in particular for courses on genome mapping. It also serves as an up-to-date guide for seasoned researchers involved in the genetic and physical mapping of genomes, especially plant genomes.
The assimilation of computational methods into the life sciences has played an important role in advancing biological research. From sequencing genomes to discovering motifs in large collections of functionally equivalent sequences of nucleic acids and proteins, the value of powerful computational tools has become abundantly clear. The Compact Hand
The Oxford Handbooks of Political Science is a ten-volume set of reference books offering authoritative and engaging critical overviews of the state of political science. Each volume focuses on a particular part of the discipline, with volumes on Public Policy, Political Theory, Political Economy, Contextual Political Analysis, Comparative Politics, International Relations, Law and Politics, Political Behavior, Political Institutions, and Political Methodology. The project as a whole is under the General Editorship of Robert E. Goodin, with each volume being edited by a distinguished international group of specialists in their respective fields. The books set out not just to report on the discipline, but to shape it. The series will be an indispensable point of reference for anyone working in political science and adjacent disciplines. The Oxford Handbook of Comparative Politics offers a critical survey of the field of empirical political science through the collection of a set of chapters written by forty-seven top scholars in the discipline of comparative politics. Part I includes chapters surveying the key research methodologies employed in comparative politics (the comparative method; the use of history; the practice and status of case-study research; the contributions of field research) and assessing the possibility of constructing a science of comparative politics. Parts II to IV examine the foundations of political order: the origins of states and the extent to which they relate to war and to economic development; the sources of compliance or political obligation among citizens; democratic transitions, the role of civic culture; authoritarianism; revolutions; civil wars and contentious politics. Parts V and VI explore the mobilization, representation and coordination of political demands. Part V considers why parties emerge, the forms they take and the ways in which voters choose parties. It then includes chapters on collective action, social movements and political participation. Part VI opens up with essays on the mechanisms through which political demands are aggregated and coordinated. This sets the agenda to the systematic exploration of the workings and effects of particular institutions: electoral systems, federalism, legislative-executive relationships, the judiciary and bureaucracy. Finally, Part VII is organized around the burgeoning literature on macropolitical economy of the last two decades.
A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.
The Oxford Handbook of Comparative Regionalism - the first of its kind - offers a systematic and wide-ranging survey of the scholarship on regionalism, regionalization, and regional governance. Unpacking the major debates, leading authors of the field synthesize the state of the art, provide a guide to the comparative study of regionalism, and identify future avenues of research. Twenty-seven chapters review the theoretical and empirical scholarship with regard to the emergence of regionalism, the institutional design of regional organizations and issue-specific governance, as well as the effects of regionalism and its relationship with processes of regionalization. The authors explore theories of cooperation, integration, and diffusion explaining the rise and the different forms of regionalism. The handbook also discusses the state of the art on the world regions: North America, Latin America, Europe, Eurasia, Asia, North Africa and the Middle East, and Sub-Saharan Africa. Various chapters survey the literature on regional governance in major issue areas such as security and peace, trade and finance, environment, migration, social and gender policies, as well as democracy and human rights. Finally, the handbook engages in cross-regional comparisons with regard to institutional design, dispute settlement, identities and communities, legitimacy and democracy, as well as inter- and transregionalism.