MEDICAL BIOINFORMATICS AND BIOCHEMISTRY 1st edition by Rajneesh Prajapat, Ijen Bhatyacharya ISBN 1536149527 978-1536149524

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ISBN 10:  1536149527 
ISBN 13: 978-1536149524
Author: Rajneesh Prajapat, Ijen Bhatyacharya 

The first edition of Medical Bioinformatics and Biochemistry (Diabormatics) explains how medical biochemistry and bioinformatics could be used as a tool for analyzing the research data related to disease diagnosis and treatment. Bioinformatics is an interdisciplinary approach that includes concepts of biotechnology, microbiology, molecular biology, medicine and forensic science. This book is based on the recent development in the research dynamics of medical bioinformatics, biochemistry and progress in these fields. The book provides reference material for students of medical and life sciences. The development in genomic sequencing and in silico biology has provided the data needed to accomplish comparisons of derived nucleotide and protein sequences. The results of analysis may be used to formulate and test hypotheses about biochemical function. This first edition provides readers with a practical guide covering the full scope of concepts in medical bioinformatics and biochemistry related to diabetes. The basic purpose of this book is for students of medical and life sciences to understand the research methods of biochemistry and bioinformatics. This includes storing, receiving, and analyzing data from databases using various in silico tools. This book is a useful source of knowledge for MBBS, B.Sc, M.Sc / M.D. / M.S. and Ph.D level students looking for an accessible introduction to the subject.

MEDICAL BIOINFORMATICS  AND BIOCHEMISTRY 1st Table of contents:

Part I: Introduction to Medical Bioinformatics

1. Introduction to Bioinformatics
   • Definition and Scope
   • History and Evolution
   • Interdisciplinary Nature of Bioinformatics
2. Bioinformatics in Medicine
   • Role of Bioinformatics in Modern Healthcare
   • Personalized Medicine and Genomics
   • Applications in Disease Diagnosis and Treatment

Part II: Fundamentals of Biochemistry

3. Basic Biochemistry Concepts
   • Structure and Function of Biomolecules
   • Enzyme Kinetics and Mechanisms
   • Bioenergetics and Metabolism
4. Macromolecules in Medical Science
   • Proteins: Structure and Function
   • Nucleic Acids: DNA and RNA
   • Lipids and Carbohydrates: Role in Health and Disease

Part III: Genomics and Transcriptomics

5. Genomic Technologies and Sequencing
   • DNA Sequencing Technologies (e.g., Next-Generation Sequencing)
   • Genome-Wide Association Studies (GWAS)
   • Applications in Disease Research
6. Transcriptomics
   • Gene Expression Analysis
   • Microarrays and RNA-Seq Technologies
   • Transcriptomic Data Analysis

Part IV: Proteomics and Metabolomics

7. Proteomics
   • Protein Structure and Function Analysis
   • Mass Spectrometry and Protein Identification
   • Applications in Disease Mechanisms and Biomarker Discovery
8. Metabolomics
   • Metabolite Profiling Techniques
   • Role in Disease Diagnosis and Monitoring
   • Integration with Genomic and Proteomic Data

Part V: Data Analysis and Machine Learning in Medical Bioinformatics

9. Bioinformatics Data Analysis
   • Data Types: Genomic, Proteomic, and Metabolomic Data
   • Data Integration and Analysis Tools
   • Statistical Methods in Bioinformatics
10. Machine Learning in Bioinformatics
    • Introduction to Machine Learning Algorithms
    • Applications in Predictive Modeling and Disease Diagnosis
    • Ethical Considerations in AI in Healthcare

Part VI: Systems Biology and Disease Models

11. Introduction to Systems Biology
    • Pathways and Networks in Cellular Function
    • Integration of Omics Data for Systems Biology
    • Mathematical Models in Medicine
12. Disease Models and Bioinformatics
    • Cancer Genomics and Bioinformatics
    • Cardiovascular Disease and Computational Models
    • Infectious Diseases and Bioinformatics Tools

Part VII: Clinical Applications and Future Directions

13. Bioinformatics in Clinical Medicine
    • Clinical Decision Support Systems
    • Genetic Testing and Counseling
    • Implementation of Bioinformatics in Hospitals
14. Emerging Trends in Medical Bioinformatics
    • Artificial Intelligence and Precision Medicine
    • Ethical, Legal, and Social Implications
    • Future Prospects and Challenges in Bioinformatics

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