Genome Data Analysis

• Κύριος συγγραφέας: Kim, Ju Han (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Learning Materials in Biosciences,
• Θέματα: Bioinformatics.; Medicine.; Statistics .; Biomedicine, general.; Statistics for Life Sciences, Medicine, Health Sciences.

This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader's bioinformatics skills. Basic data preprocessing with normalization and filtering, prim...

Πίνακας περιεχομένων:

• Part 1. BIOINFORMATICS FOR LIFE AND PERSONAL GENOME INTERPRETATION
• Chapter 1. Bioinformatics For Life
• Chapter 2. Next Generation Sequencing and Personal Genome Data Analysis
• Chapter 3. Personal Genome Data Analysis
• Chapter 4. Personal Genome Interpretation and Disease Risk Prediction
• Part 2. ADVANCED MICROARRAY DATA ANALYSIS
• Chapter 5. Advanced Microarray Data Analysis
• Chapter 6. Gene Expression Data Analysis
• Chapter 7. Gene Ontology and Biological Pathway-based Analysis
• Chapter 8. Gene-set Approaches and Prognostic Subgroup Prediction
• Chapter 9. MicroRNA Data Analysis
• Part 3. NETWORK BIOLOGY, SEQUENCE, PATHWAY AND ONTOLOGY INFORMATICS
• Chapter 10. Network Biology, Sequence, Pathway and Ontology Informatics
• Chapter 11. Motif and Regulatory Sequence Analysis
• Chapter 12. Molecular Pathways and Gene Ontology
• Chapter 13. Biological Network Analysis
• Part 4. SNPS, GWAS AND CNVS, INFORMATICS FOR GENOME VARIANTS
• Chapter 14. SNPs, GWAS, CNVs: Informatics for Human Genome Variations
• Chapter 15. SNP Data Analysis
• Chapter 16. GWAS Data Analysis
• Chapter 17. CNV Data Analysis
• Part 5. METAGENOME AND EPIGENOME, BASIC DATA ANALYSIS
• Chapter 18. Metagenome and Epigenome Data Analysis
• Chapter 19. Metagenome Data Analysis
• Chapter 20. Epigenome Databases and Tools
• Chapter 21. Epigenome Data Analysis
• Appendix A. BASIC PRACTICE USING R FOR DATA ANALYSIS
• Appendix B. APPLICATION PROGRAM FOR GENOME DATA ANALYSIS INSTALL GUIDE.