You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Genes, genetic codes, and mutation. Dynamics of genes in populations. Evolutionary change in nucleotide sequences. Rates and patterns of nucleotide substitution. Molecular phylogenetics. Gene duplication, exon shuffling, and concerted evolution. Evolution by transposition. Genome evolution. Spatial and temporal frameworks of the evolutionary process. Basics of probability.
The study of evolution at the molecular level has given the subject of evolutionary biology a new significance. Phylogenetic 'trees' of gene sequences are a powerful tool for recovering evolutionary relationships among species, and can be used to answer a broad range of evolutionary and ecological questions. They are also beginning to permeate the medical sciences. In this book, the authors approach the study of molecular evolution with the phylogenetic tree as a central metaphor. This will equip students and professionals with the ability to see both the evolutionary relevance of molecular data, and the significance evolutionary theory has for molecular studies. The book is accessible yet s...
This new volume in the OSEB series presents reviews of key theoretical ideas and frameworks, and outlines progress in evolutionary studies.
This book describes the driving forces behind the evolutionary process at the molecular and genome levels, the effects of the various molecular mechanisms on the structure of genes, proteins, and genomes, the methodology and the analytical tools involved in dealing with molecular data from an evolutionary perspective, and the logic of evolutionary hypothesis testing. Evolutionary phenomena at the molecular level are detailed in a way that can be understood without much prerequisite knowledge of molecular biology, evolution, or mathematics. Numerous examples that support and clarify the theoretical arguments and methodological discussions are included.
This second edition details protocols that analyze and explore gene regulatory networks (GRNs). Chapters guide readers through experimental techniques used to study genes and their regulatory interactions in plants, and computational approaches used for the integration of experimental data and bioinformatics-based predictions of regulatory interactions. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Plant Gene Regulatory Networks: Methods and Protocols, Second Edition aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge.
None
Yeast is one of the most studied laboratory organisms and represents one of the most central models to understand how any eukaryote cell works. On the other hand, yeast fermentations have for millennia provided us with a variety of biotech products, like wine, beer, vitamins, and recently also with pharmaceutically active heterologous products and biofuels. A central biochemical activity in the yeast cell is the metabolism of carbon compounds, providing energy for the whole cell, and precursors for any of the final fermentation products. A complex set of genes and regulatory pathways controls the metabolism of carbon compounds, from nutrient sensing, signal transduction, transcription regula...
In covering the subject of Chinese medicine, this book addresses topics such as oracle bones, the treatment of women, fertility and childbirth, nutrition, acupuncture, and Qi as well as examining Chinese medicine as practiced globally in places such as Africa, Australia, Vietnam, Korea, and the United States.
This is the story of a profound revolution in the way biologists explore life's history, understand its evolutionary processes, and reveal its diversity. It is about life's smallest entities, deepest diversity, and greatest cellular biomass: the microbiosphere. Jan Sapp introduces us to a new field of evolutionary biology and a new brand of molecular evolutionists who descend to the foundations of evolution on Earth to explore the origins of the genetic system and the primary life forms from which all others have emerged. In so doing, he examines-from Lamarck to the present-the means of pursuing the evolution of complexity, and of depicting the greatest differences among organisms. The New F...
This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the standard clustering methods traditionally used. From the contents: * Understanding and Preprocessing Microarray Data * Clustering of Microarray Data * Reconstruction of the Yeast Cell Cycle by Partial Correlations of Higher Order * Bilayer Verification Algorithm * Probabilistic Boolean Networks as Models for Gene Regulation * Estimating Transcriptional Regulatory Networks by a Bayesian Network * Analysis of Therapeutic Compound Effects * Statistical Methods for Inference of Genetic Networks and Regulatory Modules * Identification of Genetic Networks by Structural Equations * Predicting Functional Modules Using Microarray and Protein Interaction Data * Integrating Results from Literature Mining and Microarray Experiments to Infer Gene Networks The book is for both, scientists using the technique as well as those developing new analysis techniques.