Bioinformatics Methods and Applications By Dev Bukhsh Singh
- Publisher: BIOLOGY
- Availability: In Stock
- SKU: 49406
- Number of Pages: 510
Rs.1,040.00
Rs.1,395.00
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Bioinformatics Methods and Applications by Dev Bukhsh Singh and Rajesh Kumar Pathak offers a thorough exploration of the latest methodologies and their practical applications in the field of bioinformatics. This comprehensive guide equips readers with essential tools to analyze biological data, decipher complex biological systems, and make meaningful discoveries in areas ranging from genomics to drug discovery.
Key Points:
1. Integration of Computational Techniques: The book emphasizes the integration of various computational techniques such as machine learning, data mining, and statistical analysis to interpret biological data effectively. Readers gain insights into how these methods can be synergistically employed to tackle complex biological problems.
2. Genome Sequencing and Assembly: Detailed discussions cover genome sequencing techniques, assembly algorithms, and the challenges associated with analyzing large-scale genomic data. The book provides practical insights into processing raw sequencing data and reconstructing genomes accurately.
3. Structural Bioinformatics: Readers delve into the realm of structural bioinformatics, exploring methods for predicting protein structures, analyzing molecular interactions, and simulating biological macromolecules. The text highlights the significance of structural modeling in understanding protein functions and designing novel therapeutics.
4. Functional Annotation and Analysis: The book elucidates strategies for functional annotation and analysis of genes, proteins, and non-coding RNAs. Readers learn how to interpret biological functions, pathways, and regulatory networks, facilitating the discovery of potential drug targets and biomarkers.
5. Phylogenetics and Evolutionary Analysis: Phylogenetic reconstruction methods and evolutionary analysis techniques are elucidated, offering insights into the evolutionary relationships among species and the molecular mechanisms driving evolutionary processes. The book explores phylogenomic approaches to understand genome evolution and biodiversity.
6. Transcriptomics and Gene Expression Analysis: Comprehensive coverage is provided on transcriptomics, including RNA sequencing technologies, differential gene expression analysis, and functional interpretation of transcriptomic data. Readers gain proficiency in unraveling gene regulatory networks and understanding gene expression dynamics.
7. Proteomics and Metabolomics: The text discusses proteomic and metabolomic techniques for studying protein expression and metabolite profiling, respectively. Readers learn how these omics approaches contribute to unraveling cellular processes, biomarker discovery, and understanding disease mechanisms.
8. Pharmacogenomics and Personalized Medicine: The book explores pharmacogenomic principles and their applications in personalized medicine, focusing on the role of genetic variations in drug response and adverse reactions. Readers gain insights into tailoring medical treatments based on individual genetic profiles.
9. Bioinformatics Databases and Tools: A comprehensive overview of bioinformatics databases and software tools is provided, enabling readers to access and utilize various resources for data analysis and interpretation. The book covers popular databases, algorithms, and programming languages commonly used in bioinformatics research.
10. Case Studies and Practical Applications: The inclusion of case studies and real-world applications enhances the practical relevance of the book, illustrating how bioinformatics methods are employed in diverse research domains such as cancer biology, infectious diseases, and agriculture. Readers gain a deeper understanding of how bioinformatics contributes to scientific discoveries and biomedical advancements.
In conclusion, "Bioinformatics Methods and Applications" offers a holistic understanding of bioinformatics methodologies and their diverse applications in biological research, making it an invaluable resource for students, researchers, and professionals in the field.