Data Analysis In Biochemistry And Biophysics PDF Download
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Author | : Magar Mager |
Publisher | : Elsevier |
Total Pages | : 516 |
Release | : 2012-12-02 |
Genre | : Science |
ISBN | : 0323147380 |
Download Data Analysis in Biochemistry and Biophysics Book in PDF, ePub and Kindle
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
Author | : Victor Bloomfield |
Publisher | : Springer Science & Business Media |
Total Pages | : 325 |
Release | : 2009-06-05 |
Genre | : Science |
ISBN | : 1441900837 |
Download Computer Simulation and Data Analysis in Molecular Biology and Biophysics Book in PDF, ePub and Kindle
This book provides an introduction to two important aspects of modern bioch- istry, molecular biology, and biophysics: computer simulation and data analysis. My aim is to introduce the tools that will enable students to learn and use some f- damental methods to construct quantitative models of biological mechanisms, both deterministicandwithsomeelementsofrandomness;tolearnhowconceptsofpr- ability can help to understand important features of DNA sequences; and to apply a useful set of statistical methods to analysis of experimental data. The availability of very capable but inexpensive personal computers and software makes it possible to do such work at a much higher level, but in a much easier way, than ever before. TheExecutiveSummaryofthein?uential2003reportfromtheNationalAcademy of Sciences, “BIO 2010: Transforming Undergraduate Education for Future - search Biologists” [12], begins The interplay of the recombinant DNA, instrumentation, and digital revolutions has p- foundly transformed biological research. The con?uence of these three innovations has led to important discoveries, such as the mapping of the human genome. How biologists design, perform, and analyze experiments is changing swiftly. Biological concepts and models are becoming more quantitative, and biological research has become critically dependent on concepts and methods drawn from other scienti?c disciplines. The connections between the biological sciences and the physical sciences, mathematics, and computer science are rapidly becoming deeper and more extensive.
Author | : Rune Matthiesen |
Publisher | : Springer Science & Business Media |
Total Pages | : 322 |
Release | : 2008-02-02 |
Genre | : Science |
ISBN | : 1597452750 |
Download Mass Spectrometry Data Analysis in Proteomics Book in PDF, ePub and Kindle
This is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. The volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters.
Author | : Oren M. Becker |
Publisher | : CRC Press |
Total Pages | : 525 |
Release | : 2001-02-09 |
Genre | : Science |
ISBN | : 0824741404 |
Download Computational Biochemistry and Biophysics Book in PDF, ePub and Kindle
Covering theoretical methods and computational techniques in biomolecular research, this book focuses on approaches for the treatment of macromolecules, including proteins, nucleic acids, and bilayer membranes. It uses concepts in free energy calculations, conformational analysis, reaction rates, and transition pathways to calculate and interpret biomolecular properties gleaned from computer-generated membrane simulations. It also demonstrates comparative protein structure modeling, outlines computer-aided drug design, discusses Bayesian statistics in molecular and structural biology, and examines the RISM-SCF/MCSCF approach to chemical processes in solution.
Author | : Heejung Bang |
Publisher | : Humana Press |
Total Pages | : 636 |
Release | : 2011-03-04 |
Genre | : Science |
ISBN | : 9781607615811 |
Download Statistical Methods in Molecular Biology Book in PDF, ePub and Kindle
This progressive book presents the basic principles of proper statistical analyses. It progresses to more advanced statistical methods in response to rapidly developing technologies and methodologies in the field of molecular biology.
Author | : Shuzhao Li |
Publisher | : Humana |
Total Pages | : 0 |
Release | : 2020-01-18 |
Genre | : Science |
ISBN | : 9781071602386 |
Download Computational Methods and Data Analysis for Metabolomics Book in PDF, ePub and Kindle
This book provides a comprehensive guide to scientists, engineers, and students that employ metabolomics in their work, with an emphasis on the understanding and interpretation of the data. Chapters guide readers through common tools for data processing, using database resources, major techniques in data analysis, and integration with other data types and specific scientific domains. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, practical guidance of methods and techniques, useful web supplements, and connect the steps from experimental metabolomics to scientific discoveries. Authoritative and cutting-edge, Computational Methods and Data Analysis for Metabolomics to ensure successful results in the further study of this vital field.
Author | : Daniel P. Berrar |
Publisher | : Springer Science & Business Media |
Total Pages | : 382 |
Release | : 2007-05-08 |
Genre | : Science |
ISBN | : 0306478153 |
Download A Practical Approach to Microarray Data Analysis Book in PDF, ePub and Kindle
In the past several years, DNA microarray technology has attracted tremendous interest in both the scientific community and in industry. With its ability to simultaneously measure the activity and interactions of thousands of genes, this modern technology promises unprecedented new insights into mechanisms of living systems. Currently, the primary applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery (pharmacogenomics), and toxicological research (toxicogenomics). Typical scientific tasks addressed by microarray experiments include the identification of coexpressed genes, discovery of sample or gene groups with similar expression patterns, identification of genes whose expression patterns are highly differentiating with respect to a set of discerned biological entities (e.g., tumor types), and the study of gene activity patterns under various stress conditions (e.g., chemical treatment). More recently, the discovery, modeling, and simulation of regulatory gene networks, and the mapping of expression data to metabolic pathways and chromosome locations have been added to the list of scientific tasks that are being tackled by microarray technology. Each scientific task corresponds to one or more so-called data analysis tasks. Different types of scientific questions require different sets of data analytical techniques. Broadly speaking, there are two classes of elementary data analysis tasks, predictive modeling and pattern-detection. Predictive modeling tasks are concerned with learning a classification or estimation function, whereas pattern-detection methods screen the available data for interesting, previously unknown regularities or relationships.
Author | : Klaus Jung |
Publisher | : Humana Press |
Total Pages | : 313 |
Release | : 2019-03-27 |
Genre | : Science |
ISBN | : 9781493979875 |
Download Statistical Analysis in Proteomics Book in PDF, ePub and Kindle
This valuable collection aims to provide a collection of frequently used statistical methods in the field of proteomics. Although there is a large overlap between statistical methods for the different ‘omics’ fields, methods for analyzing data from proteomics experiments need their own specific adaptations. To satisfy that need, Statistical Analysis in Proteomics focuses on the planning of proteomics experiments, the preprocessing and analysis of the data, the integration of proteomics data with other high-throughput data, as well as some special topics. Written for the highly successful Methods in Molecular Biology series, the chapters contain the kind of detail and expert implementation advice that makes for a smooth transition to the laboratory. Practical and authoritative, Statistical Analysis in Proteomics serves as an ideal reference for statisticians involved in the planning and analysis of proteomics experiments, beginners as well as advanced researchers, and also for biologists, biochemists, and medical researchers who want to learn more about the statistical opportunities in the analysis of proteomics data.
Author | : Röbbe Wünschiers |
Publisher | : Springer Science & Business Media |
Total Pages | : 453 |
Release | : 2013-01-30 |
Genre | : Science |
ISBN | : 3642347495 |
Download Computational Biology Book in PDF, ePub and Kindle
This greatly expanded 2nd edition provides a practical introduction to - data processing with Linux tools and the programming languages AWK and Perl - data management with the relational database system MySQL, and - data analysis and visualization with the statistical computing environment R for students and practitioners in the life sciences. Although written for beginners, experienced researchers in areas involving bioinformatics and computational biology may benefit from numerous tips and tricks that help to process, filter and format large datasets. Learning by doing is the basic concept of this book. Worked examples illustrate how to employ data processing and analysis techniques, e.g. for - finding proteins potentially causing pathogenicity in bacteria, - supporting the significance of BLAST with homology modeling, or - detecting candidate proteins that may be redox-regulated, on the basis of their structure. All the software tools and datasets used are freely available. One section is devoted to explaining setup and maintenance of Linux as an operating system independent virtual machine. The author's experiences and knowledge gained from working and teaching in both academia and industry constitute the foundation for this practical approach.
Author | : |
Publisher | : Elsevier |
Total Pages | : 313 |
Release | : 2004-06-02 |
Genre | : Science |
ISBN | : 0080497225 |
Download Numerical Computer Methods, Part E Book in PDF, ePub and Kindle
The contributions in this volume emphasize analysis of experimental data and analytical biochemistry, with examples taken from biochemistry. They serve to inform biomedical researchers of the modern data analysis methods that have developed concomitantly with computer hardware. Selected Contents: A practical approach to interpretation of SVD results; modeling of oscillations in endocrine networks with feedback; quantifying asynchronous breathing; sample entropy; wavelet modeling and processing of nasal airflow traces