Bioinformatics Methods And Applications Sc Rastogi Pdf
Let’s be honest: lugging a 500-page hardcover into a wet lab isn't practical. The popularity of the digital version of this text comes down to utility:
Rastogi's text provides a structured approach to the essential tools and techniques in the field. 1. Database Management and Searching bioinformatics methods and applications sc rastogi pdf
The book is structured into eight primary units to facilitate learning across four core disciplines: bioinformatics fundamentals, genomics, proteomics, and drug discovery. Let’s be honest: lugging a 500-page hardcover into
Detailed exploration of genome mapping, gene expression, and protein function prediction. Database Management and Searching The book is structured
Academic PDFs often allow quick navigation between text citations, images, and external database URLs.
| Chapter | Title | Key Topics | | :--- | :--- | :--- | | 1 | Bioinformatics: An Introduction | Foundational concepts and scope of the field | | 2 | Introduction to Biological Databases | Types, features, and uses of key biological databases | | 3 | Information Search and Data Retrieval | Techniques for finding and extracting biological data | | 4 | Genome Analysis and Gene Mapping | Methods for analyzing and mapping genomes | | 5 | Alignment of Pairs of Sequences | Pairwise sequence alignment algorithms and methods | | 6 | Alignment of Multiple Sequences | Multiple sequence alignment and its applications | | 7 | Introduction to Phylogenetics | Basic concepts of phylogenetic analysis | | 8 | Methods of Phylogenetic Analysis | Specific techniques for building evolutionary trees | | 9 | Tools for Similarity Search and Sequence Alignment | Practical tools like BLAST and FASTA | | 10 | Profiles and Hidden Markov Models | Advanced methods for sequence analysis | | 11 | Gene Identification and Prediction | Computational approaches to finding genes in DNA | | 12 | RNA Structure Prediction | Methods for predicting the secondary structure of RNA | | 13 | Gene Expression and Microarrays | Analysis of gene expression data from microarrays | | 14 | Protein Classification and Structure Visualization | Categorizing proteins and visualizing their 3D structures | | 15 | Protein Structure Prediction | Computational methods like homology modeling and threading | | 16 | Proteomics | The large-scale study of proteins and their functions | | 17 | Computational Methods for Pathways and Systems Biology | Analyzing biological pathways and networks | | 18 | Introduction to Drug Discovery | The initial phases of the drug discovery pipeline | | 19 | Drug Discovery: Technology and Strategies | Modern technologies in drug development | | 20 | Cell Cycle: Key to Drug Discovery | Role of the cell cycle in identifying drug targets | | 21 | Structural Biology and Virtual Screening for Drug Discovery | Using protein structures for in-silico drug screening | | 22 | Emerging Role of Biomarkers in Drug Development | Importance of biomarkers in modern drug development | | 23 | G-Protein Coupled Receptors as Drug Targets | A major class of drug targets | | 24 | Ion Channels and Aquaporins as Potential Drug Targets | Other important drug target families | | 25 | Computer-aided Drug Design | Comprehensive methods for computational drug design |
Mapping crop genomes to engineering disease-resistant and high-yield plant varieties.