Considered highly exotic tools as recently as the late 1990s, microarrays are now ubiquitous in biological research. Traditional statistical approaches to design and analysis were not developed to handle the high-dimensional, small sample problems posed by microarrays. In just a few short years the number of statistical papers providing approaches
In this authoritative guide, expert investigators provide cutting-edge chapters dealing with modern plant systems biology approaches. This work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.
Animal Biotechnology: Models in Discovery and Translation, Second Edition, provides a helpful guide to anyone seeking a thorough review of animal biotechnology and its application to human disease and welfare. This updated edition covers vital fundamentals, including animal cell cultures, genome sequencing analysis, epigenetics and animal models, gene expression, and ethics and safety concerns, along with in-depth examples of implications for human health and prospects for the future. New chapters cover animal biotechnology as applied to various disease types and research areas, including in vitro fertilization, human embryonic stem cell research, biosensors, enteric diseases, biopharming, organ transplantation, tuberculosis, neurodegenerative disorders, and more. Highlights the latest biomedical applications of genetically modified and cloned animals, with a focus on cancer and infectious diseases Offers first-hand accounts of the use of biotechnology tools, including molecular markers, stem cells, animal cultures, tissue engineering, ADME and CAM Assay Includes case studies that illustrate safety assessment issues, ethical considerations, and intellectual property rights associated with the translation of animal biotechnology studies
This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computer science tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. The book closes with a thorough bibliography, reaching from classic research results to very recent findings. This volume is suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on mathematical and computer science background.
Genes, genomes, and chips. (Mark Schena and Ronald W. Davis). Confocal scanning microscopy in microarray detection. (Mack J. Schermer). Representational differences analysis and microarray hybridization for efficient cloning and screening of differentially expressed genes. (Stanley F. Nelson and Cristopher T. Denny). Use of oligonucleotide arrays in enzymatic assays: assay optimization. (Stephen Case-Green, Clare Pritchard, and Edwin M. Southern). Antisense oligonucleotide scanning arrays. (John K. Elder, Martin Johnson, Natalie Milner, Kalim U. Mir, Muhammad Sohail, and edwin M. Southern). Application of ink-jet printing technology to the manufacture of molecular arrays. (Thomas P. Theriault, Scott C. Winder, and Ronald C. Gamble). Gene expression analysis via cDNA microarrays of laser capture microdissected cells from fixed tissue. (ranelle C. Salunga, Hongqing Guo, Lin Luo, Anton Bittner, K. C. Joy, Jim R. Chambers, Jackson S. Wan, Michael R. Jackson, and Mark G. Erlander. Expression data and the bioinformatics challenges. (Joel Lloyd Bellenson). Active microelectronic arrays for DNA hybridization analysis. (Michael J. Heller, Eugene Tu, Anita Holmsen, Ronald G. Sosnowski, and James O'Connell). Gene chips and microarrays: applications in disease profiles, drug target discovery, drug action and toxity. (Renu A. Heller, John Allard, Frengrong Zuo, Christopher Lock, Stacy Wilson, Paul Klonowski, Hans Gmuender, Harold Van Wart, and Robert Booth).
Fundamentals of Advanced Omics Technologies: From Genes to Metabolites covers the fundamental aspects of the new instrumental and methodological developments in omics technologies, including those related to genomics, transcriptomics, epigenetics, proteomics and metabolomics, as well as other omics approaches such as glycomics, peptidomics and foodomics. The principal applications are presented in the following complementary volume. The chapters discuss in detail omics technologies, DNA microarray analysis, next-generation sequencing technologies, genome-wide analysis of methylation and histone modifications, emerging nanotechniques in proteomics, imaging mass spectrometry in proteomics, recent quantitative proteomics approaches, and advances in high-resolution NMR-based metabolomics, as well as MS-based non-targeted metabolomics and metabolome analysis by CE-MS, global glycomics analyses, foodomics, and high resolution analytical tools for quantitative peptidomics. Key aspects related to chemometrics, bioinformatics, data treatment, data integration and systems biology, deep-sequencing data analysis, statistical approaches for the analysis of microarray data, the integration of transcriptome and metabolome data and computational approaches for visualization and integration of omics data are also covered. Covers the latest advances in instrumentation, experimental design, sample preparation, and data analysis Provides thorough explanations and descriptions of specific omics technologies Describes advanced tools and methodologies for data pretreatment, storage, curation and analysis, as well as data integration
Praise for the First Edition “…extremely well written…a comprehensiveand up-to-date overview of this important field.” –Journal of Environmental Quality Exploration and Analysis of DNA Microarray and OtherHigh-Dimensional Data, Second Edition provides comprehensivecoverage of recent advancements in microarray data analysis. Acutting-edge guide, the Second Edition demonstrates variousmethodologies for analyzing data in biomedical research and offersan overview of the modern techniques used in microarray technologyto study patterns of gene activity. The new edition answers the need for an efficient outline of allphases of this revolutionary analytical technique, frompreprocessing to the analysis stage. Utilizing research andexperience from highly-qualified authors in fields of dataanalysis, Exploration and Analysis of DNA Microarray and OtherHigh-Dimensional Data, Second Edition features: A new chapter on the interpretation of findings that includes adiscussion of signatures and material on gene set analysis,including network analysis New topics of coverage including ABC clustering, biclustering,partial least squares, penalized methods, ensemble methods, andenriched ensemble methods Updated exercises to deepen knowledge of the presented materialand provide readers with resources for further study The book is an ideal reference for scientists in biomedical andgenomics research fields who analyze DNA microarrays and proteinarray data, as well as statisticians and bioinformaticspractitioners. Exploration and Analysis of DNA Microarray andOther High-Dimensional Data, Second Edition is also a usefultext for graduate-level courses on statistics, computationalbiology, and bioinformatics.
Biotechnology provides description of structure and function of the genetic material and the genome organization and discusses in detail genetic code, structural code, regulatory code, RNA world, RNA editing and DNA imprinting. Gene, its structure and expression, gene cloning, in vitro mutagenesis, gene tagging, gene silencing, DNA synthesis and sequencing technology as well as genome sequencing and assembly are also discussed. Molecular marker technology and its applications, structural genomics technologies including methods of analysis of SNPs and haplotypes, functional genomics technologies for studying gene function and interactions at individual gene level and at genome-wide scale and proteomics technologies are fully described. Methods of construction of pathways and networks, and protein synthesis and sequencing technology are included.
Building on the proven strength of Russell's step-by-step problem-solving approach, Essential iGenetics blends a classic, Mendel-first approach with modern molecular coverage. This easy-to-read introduction to genetics presents full coverage of the subject in a brief and manageable format. Readers develop and apply critical thinking skills as they work step-by-step through a number of solved genetics problems. Readers can also apply the principles and techniques learned to a variety of problems at the end of each chapter. The book covers basic genetics principles, with balanced coverage of Mendel, historical experiments, and cutting-edge chapters on Genome Analysis and Molecular Evolution.
Diagnostic Techniques in Genetics offers an overview of how DNA or RNA technology may be applied to a large set of genetic diagnoses. The first part of the book focuses on DNA/RNA applications and includes many of the latest developments in the field combined with routine procedures of genetic diagnoses, for example cloning and sequencing DNA. The DNA applications presented in the first chapter are then each applied to a specific kind of genetic diagnosis and the text concludes with a chapter devoted to population genetics.