Author: Publisher:
ISBN:
Category : Biochemistry
Languages : en
Pages : 0
Book Description
Data for Biochemical Research
Author: Data Analysis in Biochemistry and Biophysics
Author: Magar MagerPublisher: Elsevier
ISBN: 0323147380
Category : Science
Languages : en
Pages : 516
Book Description
Data Analysis in Biochemistry and Biophysics describes the techniques how to derive the most amount of quantitative and statistical information from data gathered in enzyme kinetics, protein-ligand equilibria, optical rotatory dispersion, chemical relaxation methods. This book focuses on the determination and analysis of parameters in different models that are used in biochemistry, biophysics, and molecular biology. The Michaelis-Menten equation can explain the process to obtain the maximum amount of information by determining the parameters of the model. This text also explains the fundamentals present in hypothesis testing, and the equation that represents the statistical aspects of a linear model occurring frequently in this field of testing. This book also analyzes the ultraviolet spectra of nucleic acids, particularly, to establish the composition of melting regions of nucleic acids. The investigator can use the matrix rank analysis to determine the spectra to substantiate systems whose functions are not known. This text also explains flow techniques and relaxation methods associated with rapid reactions to determine transient kinetic parameters. This book is suitable for molecular biologists, biophysicists, physiologists, biochemists, bio- mathematicians, statisticians, computer programmers, and investigators involved in related sciences
Data for Biochemical Research
Author: Rex Malcolm Chaplin DawsonPublisher: Oxford University Press, USA
ISBN:
Category : Business & Economics
Languages : en
Pages : 600
Book Description
Contains tables of biochemical compounds including synonyms, formulas, molecular weights, physical properties and solubility.
Comprehensive Chemometrics
Author: Publisher: Elsevier
ISBN: 044452701X
Category : Science
Languages : en
Pages : 2880
Book Description
Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications. This major reference work provides broad-ranging, validated summaries of the major topics in chemometrics—with chapter introductions and advanced reviews for each area. The level of material is appropriate for graduate students as well as active researchers seeking a ready reference on obtaining and analyzing scientific data. Features the contributions of leading experts from 21 countries, under the guidance of the Editors-in-Chief and a team of specialist Section Editors: L. Buydens; D. Coomans; P. Van Espen; A. De Juan; J.H. Kalivas; B.K. Lavine; R. Leardi; R. Phan-Tan-Luu; L.A. Sarabia; and J. Trygg Examines the merits and limitations of each technique through practical examples and extensive visuals: 368 tables and more than 1,300 illustrations (750 in full color) Integrates coverage of chemical and biological methods, allowing readers to consider and test a range of techniques Consists of 2,200 pages and more than 90 review articles, making it the most comprehensive work of its kind Offers print and online purchase options, the latter of which delivers flexibility, accessibility, and usability through the search tools and other productivity-enhancing features of ScienceDirect
Data for Biochemical Research
Author: Data for biochemical research
Author: Data for Biochemical Research
Author: Thermodynamic Data for Biochemistry and Biotechnology
Author: Hans-Jürgen HinzPublisher: Springer Science & Business Media
ISBN: 3642711146
Category : Science
Languages : en
Pages : 462
Book Description
The strong trend in the Biological Sciences towards a quantitative characterization of processes has promoted an increased use of thermo dynamic reasoning. This development arises not only from the well known power of thermodynamics to predict the direction of chemical change, but also from the realization that knowledge of quantitative thermodynamic parameters provides a deeper understanding of many biochemical problems. The present treatise is concerned primarily with building up a reliable data base, particularly ofbiothermodynamic and related quantities, such as partial specific volumes and compressibilities, which will help scientists in basic and applied research to choose correct data in a special field that may not be their own. Most chapters reflect this emphasis on data provision. However, it was also felt that the expert user deserved information on the basic methodology of data acquisition and on the criteria of data selection. Therefore all tables are preceded by a critical evaluation of the techniques as well as a survey of the pertinent studies in the corresponding areas. The surveys are usually self-consistent and provide references to further sources of data that are important but not covered in the present volume. The reader will realize that in different chapters, different symbols have be~n used for the same properties. This unfortunate situation is particularly obvious in those chapters where partial specific or molar quantities had to be introduced; however, it also occurs in those contributions concerning phase changes of macromolecules.
Data for Biochemical Research
Author: Metabolomics for Biomedical Research
Author: Jerzy AdamskiPublisher: Academic Press
ISBN: 0128127848
Category : Medical
Languages : en
Pages : 266
Book Description
Metabolomics for Biomedical Research brings together recent progress on study design, analytics, biostatistics and bioinformatics for the success of metabolomics research. Metabolomics represents a very interdisciplinary research prominent in the functional analyses of living systems; hence, this book focuses on translation and medical aspects. The book discusses topics such as biomarkers and their requirements to be used in medical research, with the parameters and approaches on how to validate their quality; and animal models and other approaches, as stem cells and organoid culture. Additionally, it explains how metabolomics may be applied in prediction of individual response to drug or disease progression. This book is a valuable source for researchers on systems biology and other members of biomedical field interested in metabolism-oriented studies for medical research.