BookNoor Ahmad Shaik, Khalid Rehman Hakeem, Babajan Banaganapalli, Ramu Elango, editors.
Summary: Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. Our second title of this volume set In Silico Life Sciences: Medicine provides hands-on experience in analyzing high throughput molecular data for the diagnosis, prognosis, and treatment of monogenic or polygenic human diseases. The key concepts in this volume include risk factor assessment, genetic tests and result interpretation, personalized medicine, and drug discovery. This volume is expected to train readers in both single and multi-dimensional biological analysis using open data sets, and provides a unique learning experience through clinical scenarios and case studies.
Contents:
1. Bioinformatics strategies for molecular diagnostics o Candidate gene selection and analysis of Rare diseaseso Candidate gene selection and analysis of Complex diseases2. Bioinformatics tools for Molecular Diagnosticso Single Gene Disorders
Case studieso Polygenic Disorders
Case studieso Genetic Tests
Tools, Results, Interpretation3. Bioinformatics approaches for Genetic Risk Marker Studieso Population Geneticso Gene Polymorphismso Gene Expression Assayso Genetic Statistics4. Bioinformatics for Disease Prognosticso Pharmacogeneticso Efficacyo Toxicityo Adverse reactions o Biomarker Selection and Monitoringo Precision Medicine5. Bioinformatics tools in Gene Therapyo Enzyme Replacement- Bioinformatics role is limitedo Gene Replacement (Knock-in)o Gene Silencing(RNAi)o Gene Editing (CRISPR)6. Bioinformatics tools in Disease Therapeutics
Data analysis tools and application o Drug Discovery o Protein-Drug Interactionso Drug-Body metabolism studieso Microbiome.