Bioinformatics Methods and Applications
Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily...
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| Other Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Oxford, United Kingdom
Elsevier
2022
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| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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| 245 | 0 | 0 | |a Bioinformatics |b Methods and Applications |c Dev Bukhsh Singh |
| 264 | # | 1 | |a Oxford, United Kingdom |b Elsevier |c 2022 |
| 264 | # | 4 | |c ©2022 |
| 300 | # | # | |a xxi, 488 pages |b illustrations |c 28 cm |
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| 504 | # | # | |a includes references and index |
| 505 | 0 | # | |a Content: List of contributors - Preface - 1. Introduction to basics of bioinformatics - 2. Biological databases and their application - 3. Biological sequence analysis - 4. Genome assembly and annotation - 5. Computational molecular phylogeny: concepts and applications - 6. Applications and challenges of microarray and RNA-sequencing - 7. RNA-seq for revealing the function of the transcriptome - 8. Analysis of SSR and SNP markers - 9. Gene ontology: application and importance in functional annotation of the genomic data - 10. Metagenomics: the boon for microbial world knowledge and current challenges - 11. Protein structure prediction - 12. Structural and functional analysis of protein - 13. Computational approaches in drug designing - 14. Structure-based drug designing - 15. Ligand-based drug designing - 16. Discovery and optimization of lead molecules in drug designing - 17. Pharmacophore modeling and its applications - 18. Molecular docking and molecular dynamics simulation - 19. Pharmacokinetics and pharmacodynamics analysis of drug candidates - 20. Computational approaches for vaccine designing - 21. Metabolomics and flux balance analysis - 22. Topological parameters, patterns, and motifs in biological networks - 23. Network biology and applications - 24. Pathway modeling and simulation analysis - 25. Systems biology and big data analytics - 26. Machine learning in bioinformatics - 27. Bioinformatics and biological data mining - Index |
| 520 | # | # | |a Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics. It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities. |
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| 650 | 0 | 0 | |a Medical Informatics Computing |
| 700 | 0 | # | |a Dev Bukhsh Singh |e editor |
| 700 | 0 | # | |a Rajesh Kumar Pathak |e editor |
| 040 | # | # | |a Shah Alam |
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