Handbook Of Comparative Genomics

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

This volume provides a collection of robust protocols for molecular biologists studying comparative genomics. Given the tremendous increase in available biosequence data over the past ten years, this volume is timely, comprehensive, and novel. The volume is intended for molecular biologists, biochemists and geneticists.

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.

This second edition provides new and updated chapters covering computational and mathematical techniques and concepts related to the field of comparative genomics. The topics covered in the chapters range from those that address general techniques and concepts that apply to all organisms to others that are specialized and apply to specific biological systems such as viruses, bacteria, nematodes, and insects. Well-known comparative genomics web-based platforms are also covered in specific chapters. Written in the highly successful Methods in Molecular Biology series format, many chapters include introductions to their respective topics and step-by-step comparison procedures, demonstrated on actual sets of genome sequences. Authoritative and cutting-edge, Comparative Genomics: Methods and Protocols, Second Edition aims to ensure successful results in the further study of this vital field.

When genomic research first came on the scene, much of the biomedical research community viewed it as a limited venture with limited potential. We now know that such an assessment was both highly premature and wonderfully inaccurate. In the last ten years, we’ve witnessed such remarkable acceleration in the merger of basic and applied genomic research that, among other things, genomic research is now thought of as being intrinsic to current drug research. Through rigorous comparative analysis, the genomes of cold-blooded vertebrate, avian, and other mammalian species are providing a deeper understanding of the human genome. Moreover, genomic sequences, which are becoming available for several species have proven to be highly relevant to drug research with regard to a number of otherwise intractable conditions. Rather than offering a comprehensive volume covering every aspect of comparative genomics, Comparative Genomics: Basic and Applied Research embodies the diverse interests of prominent researchers in the field. Compiling first hand descriptions of their pioneering work, the text focuses on commonalities and synergies across the broad field of comparative genomics. Among its many topics it covers— · Revolutionary advances in DNA-sequencing technology · Bold new approaches to the organization and analysis of large phylogenetic data sets · The impact of comparative genomics on our understanding of evolution · Efforts toward developing novel antimicrobial drugs, through the use of bacterial pathogen genomes Ultimately, future breakthroughs in comparative genomics will depend upon the continued interaction and interdependency of applied and basic research. This seminal volume demonstrates both the means and the fruits of that cooperation, and in doing so defines and lays the groundwork for continued progress.

This book provides an overview of computational analysis of genes and genomes, and of some most notable findings that come out of this work. Foundations of Comparative Genomics presents a historical perspective, beginning with early analysis of individual gene sequences, to present day comparison of gene repertoires encoded by completely sequenced genomes. The author discusses the underlying scientific principles of comparative genomics, argues that completion of many genome sequences started a new era in biology, and provides a personal view on several state-of-the-art issues, such as systems biology and whole-genome phylogenetic reconstructions. This book is an essential reference for researchers and students in computational biology, evolutionary biology, and genetics. Presents an historic overview of genome biology and its achievements Includes topics not covered in other books such as minimal and ancestral genomes Discusses the evolutionary resilience of protein-coding genes and frequent functional convergence at the molecular level Critically reviews horizontal gene transfer and other contentious issues Covers comparative virology as a somewhat overlooked foundation of modern genome science