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Molecular Biology

Integrative Approaches to Molecular Biology - Julio Collado-Vides

Author

Julio Collado-Vides
Boris Marasanik
Temple F. Smith

Cover Price : Rs 495.00

Imprint : MIT Press
ISBN : 8180520544
YOP : 2004

Binding : Paperback
Total Pages : 360
CD : No

DESCRIPTION What are the main challenges of computational molecular biology once the genome projects are completed? Integrative Approaches to Molecular Biology focuses on molecular biology beyond sequences: from gene regulation to differentiation, a higher-level integration that will be a major theme in biology following conclusion of the genome program. It charts the course of the emerging discipline of integrative molecular biology from macromolecular sequences to a biological (and theoretical) perspective, showing that novel integrative methodologies and paradigms are emerging at the confluence of such disciplines as computer science, logic, linguistics, and mathematics. Following an introductory chapter by Richard Lewontin that offers a critique of the evolutionary process as one of engineering design, the first part of the book, on computational biology, addresses issues concerning protein and DNA sequences within genome projects and a federated infrastructure for databases. The second part brings together experimental, evolutionary, computational, and theoretical approaches dealing with regulation of gene expression, metabolic pathways, and cell differentiation. The book concludes with a chapter on problems and perspectives on artificial intelligence. CONTENTS Preface 1 Evolution as Engineering I Computational Biology 2 Analysis of Bacteriophage T4 Based on the Completed DNA Sequence 3 The Identification of Protein Functional Patterns 4 Comparative Genomics: A New Integrative Biology 5 On Genomes and Cosmologies II Regulation, Metabolism, and Differentiation: Experimental and Theoretical Integration 6 A Kinetic Formalism for Integrative Molecular Biology: Manifestation in Biochemical Systems Theory and Use in Elucidating Design Principles for Gene Circuits 7 Genome Analysis and Global Regulation in Escherichia coli 8 Feedback Loops: The wheels of Regulatory Networks 9 Integrative Representations of the Regulation of Gene Expression 10 Eukaryotic Transcription 11 Analysis of Complex Metabolic Pathways 12 Where Do Biochemical Pathways Lead? 13 Gene Circuits and Their Uses 14 Fallback Positions and Fossils in Gene Regulation 15 The Language of the Genes Glossary References Contributors Index.

Biostatistical Methods - Stephen W. Looney

Author

Stephen W. Looney

Cover Price : Rs 795.00

Imprint : Woodhead
ISBN : 8184893116
YOP : 2009

Binding : Paperback
Total Pages : 222
CD : No

The use of biostatistical techniques in molecular biology has grown tremendously in recent years and is now essential for the correct interpretation of a wide variety of laboratory studies. In Biostatistical Methods,a panel of leading biostatisticians and biomedical researchers describe many of the key techniques used to solve commonly occurring data analytical problems in molecular biology, and Jemonstrate how these methods can help identify new markers for exposure to a risk factor, or identify a particular disease outcome. Major areas of application include microarray analysis, proteomic studies, image quantitation, genetic susceptibility and association, evaluation of new biomarkers, and power analysis and sample size. In the case of genetic effects in human populations, the authors describe sophisticated statistical methods to control the overall false-positive rate when many statistical tests are used in linking particular alleles to the occurrence of disease. Other discussed are those used to validate statistical approaches for analyzing the E-D association, to study the associations between disease and the inheritance of particular genetic variants, and to evaluate the clinical utility of tumor makers. There are also useful recommendations for statistical and data management software (S-Plus, STATA, SAS, Oracle, JAVA). Accessible, state-of-the-art, and highly practical,biostatistical methods provide an excellent starting point both for statisticians just beginning work on problems in molecular biology, and for all molecular biologists who want to use biostatistics in genetics research designed to uncover the causes and treatments of disease. FEATURES Applies biostatistics to the study of genetics and the causes and treatment of disease Covers many recent developments in image quantitation, microarrays, and proteomics Describes advanced statistical analysis techniques and applies them to real data Discusses the use of data management software: S-Plus, STATA,SAS,Oracle, and JAVA Enables molecular biologists to carry out advanced biostatistical analyses Includes numerous data sets and software recommendations CONTENTS Statistical Contributions to Molecular Biology. Linking Image Quantitation and Data Analysis. Introduction to Microarray Experimentation and Analysis. Statistical Methods for Proteomics. Statistical Methods for Assessing Biomarkers. Power and Sample Size Considerations in Molecular Biology. Models for Determining Genetic Susceptibility and Predicting Outcome. Multiple Tests for Genetic Effects In Association Studies. Statistical Considerations in Assessing Molecular Markers for Cancer Prognosis and Treatment Efficacy. Power of the Rank Test for Multi-Strata Case-Control Studies with Ordinal Exposure Variables. Index


   

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