By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevant biological phenomena, modeling frameworks, technical challenges, and algorithms. Up-to-date developments of structures of biomolecules, systems biology, advanced models, and algorithms Sampling techniques for estimating evolutionary rates and generating molecular structures Accurate computation of probability landscape of stochastic networks, solving discrete chemical master equations End-of-chapter exercises
Currently Drosophila is a dominant experimental model in developmental biology and in gene regulation in eukaryotes. This volume summarizes some thirty years of experience in the handling of in vitro cultured Drosophila cells. Its main emphasis is on gene transfer methodology, cell responses to heat shock, hormonal regulation of genes, and on the expression and mobility of transposable elements. Some thirty years of experience in handling in vitro cultured Drosophila cells Cell cultures which provide material for a multiplicity of biochemical approaches DNA-mediated gene transfer as an irreplaceable tool for analyzing basic mechanisms of regulation Drosophila cell lines which qualify them for use in biotechnology
A response to increasingly stringent regulation of pollution and toxicity levels in industrial waste discharge, Micellar Enhanced Ultrafiltration: Fundamentals & Applications offers the most complete book available on the benefits and use of micellar-enhanced ultrafiltration (MEUF) to achieve continuous removal of organic and inorganic pollutants. An Unparalleled Book That Addresses Both Academic and Industrial Points of View Several membrane-based techniques, such as microfiltration, ultrafiltration, nanofiltration, and reverse osmosis, are currently used in a wide range of applications throughout the textile, pulp and paper, sugar, chemical, pharmaceutical, biomedical, biotechnological, an...
This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.
This book focus on recent advances in nuclear physics and bring together experimentalists and theorists. Topics covered include neutron rich and superheavy nuclei, supernova and r-process nuclei, nuclear symmetry energy and equation of state, neutron stars, FAIR and future Dubna research, other related areas.
The seventh throughly revised and enlarged edition of this indispensable book for all introductory and advance courses in statistics is intended to cater to the needs of the students preparing for B.Com. (Pass and Honours), B.A. (Economics Honours), M.Com., M.A. (Economics): CA, ICWA, MBA and other management courses. While retaining the basic features of earlier editions, this edition of the book includes Two New Chapters (Chapters 26 and 27), and extensively revised, restructured, rewritten and updated material, with a number of distinct features.