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Physiology and Medicine
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Authors: Ivan Yu Torshin 
Book Description:
Several years have passed after the sequencing of the human genome and what might be called as “the post-genomic era” has begun. Of course, there are many different genomes and the term “post-genomic” does not necessarily imply the human genome. However, it is the data encoded in the human genome that hold the promise to be of practical importance in a wide range of biomedical applications. The sequencing and preliminary annotations of the human genome provided an incredible amount of the raw, largely unprocessed information. Coupled with the millions of publications on human physiology already available in public databases, it is clear that certain informational strategies should be adopted for the retrieval, analysis and representation of these data.

Among biological sciences, bioinformatics is a specific branch that deals with managing complexities in the biological information. However, the bioinformatics is in no way restricted to the compilation of large databases or elaboration of sophisticated software. The methods of bioinformatics can greatly assist the generation of productive hypotheses that allow subsequent experimental testing followed by confirmation or disproval. The main idea behind the present volume is not worrying about the steadily growing amounts of biomedical information or about the relative quality of it. This volume, as well as the entire book series, is based on the purpose-oriented attitude: how to make a good use of this information in particular research projects.

Table of Contents:
Foreword
Preface
Introduction

Chapter I - Systems within the Systems within the Systems; pp. 11-34
A Historical perspective
The Levels of the Physiological Systems in the Human Body
Disease Etiology and Medical Diagnostics
Chapter summary

Chapter II - Some Basics of Cardiovascular Physiology, Pathology and Genetics; pp. 35-67
CVD: Cardiovascular Disease
Factors of Cardiovascular Risk
Biochemical Markers and Diagnostics of CVD
Approaching CVD Genetics
CVD Genetics and Bioinformatics
The Case of a GeneScape for CVD
An Ultra-brief Overview of the CVD Genetics
Chapter summary

Chapter III - Biomedical Studies and Studies of the Studies;
pp. 69-103
The Informational Overload in Modern Human Physiology
Search for and Retrieval of Studies
Assessment of Biomedical Studies
Study assessment: The Use of Hierarchies
Study assessment: Questionnaires
Study assessment: Appraisal of Observational Studies
Study assessment: The Study cohorts
Study assessment: Statistical Aspects
Study assessment: A Forgery?
Analyzing a Cohort
The Case of IHD200
Chapter summary

Chapter IV - MedSNP: A Middle Ground between Physiology, Genetics and Medicine; pp. 105-126
Testing Genetic Risks
MedSNP™: The Database for Clinical Applications in Post-Genomic Medicine
Making the Database
Preliminary Database Analysis: Selecting the Polymorphisms
Exploring medSNP: A First Look
Chapter summary

Chapter V - Genetic Associations: Analyses of the Data Consistency; pp. 127-167
Introduction
Meta-analysis
Ortho-analyses?
Ortho-analysis: Consistency across the Levels of Function
Ortho-analysis: Quantitative Analyses of Biochemical Variables
Ortho-analysis: Dose-dependent Effects
Ortho-analysis: Multivariate vs. Univariate
Ortho-analysis: Qualitative Analyses of Heterogeneous Clinical Studies
Para-analysis: Taking a Look at Failures
Para-analysis: A2M ins/del and the Risk of Alzheimer Disease
Para-analysis: Substantiated Negative Reports
Analyses of Data Consistency and Implications for Post-Genomic Studies
Chapter summary

Chapter VI - The Functional Genomics Quest; pp. 169-206
Introducing Functional Genomics and Systems Biology
Aiming at the Complex Diseases
Aiming at Complex Diseases: The Scleroderma Example
The Case of Scleroderma GeneScape
Aiming at Complex Diseases: CVD
Identification of the Target Genes: Transcriptomics
Identification of the target genes: Proteomics
The Case of Estrogens and Venous Thrombosis
Estrogens and Venous Thrombosis: An Extended Discussion
Chapter summary

Chapter VII - Metabolic Pathways and Molecular Cascades;
pp. 207-243
Introduction
Molecular Cascades, Metabolic Pathways and Metabolic Contexts
Case Study: MTHFR Metabolic Context
Metabolic Context Analysis and Mol. Mech. of Human Disease
Math Modeling of Metabolic Pathways and Molecular Cascades
Network Approaches to Molecular Cascades
Case Study: In Silico Interactomics: An Inquiry
In Silico Interactomics: Some Perspectives
Interactomics: Where can we go?
Chapter summary

Chapter VIII - Metabolome Analyses and Drug Design; pp. 245-262
Introduction
Metabolomics: A Review
Pathway Databases
Malaria: The Current Situation
Malaria: Post-Genomic Studies
Malaria: A Case of Malaria Drugs and In Silico Metabolomics
Malaria: Involving Bioinformatics
Chapter Summary

Conclusion
Appendix I.CVD GeneScape: The Brief Descriptions of The Genes

Index

   Series:
      Bioinformatics in the Post-Genomic Era, Ivan Yu. Torshin
   Binding: Hardcover
   Pub. Date: 2007
   ISBN: 978-1-60021-752-4
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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