Genomic Approach to Asthma
This volume in the series, Translational Bioinformatics, provides an up-to-date overview of genomic approaches to asthma. By applying unbiased "-omics" combined with disease-focused and hypothesis-driven approaches, it enhances readers' understanding of the asthma endotype. Furthermor...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2018.
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| Έκδοση: | 1st ed. 2018. |
| Σειρά: | Translational Bioinformatics,
12 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Chapter 1: Omics approaches: a useful tool in asthma precision medicine (Zhihong Chen)
- Chapter 2: The next generation sequencing (NGS) of asthma genetics (Li Li)
- Chapter 3: GWAS Era and Its Research Progress and Clinical Applications in Asthma (Xiaojing Liu)
- Chapter 4: Transcriptome measurement of asthma (Zhihong Chen)
- Chapter 5: Epigenetics and epigenomic studies in asthma (Hong Ji)
- Chapter 6: Protein and post translational modification in asthma (Akram Safaie)
- Chapter 7: Metabolomics as a novel diagnostic approach for asthma (B. Fatemeh Nobakht)
- Chapter 8: Understanding and Diagnosing Asthma and COPD by Metabolomics (Wanxing Eugene Ho)
- Chapter 9: MicroRNA and its Application in Asthma Studies (Fang Chen)
- Chapter 10: Pharmacogenetic study in asthma (Quan-Jun Yang)
- Chapter 11: Crosstalk between Alveolar Epithelial Cells and Macrophages in Asthma (Zhilong Jiang)
- Chapter 12: HAT-HDAC system in asthma (Xiaoru Sun)
- Chapter 13: Data Science for Asthma Study (Xian Yang)
- Chapter 14: Biological Databases (Reyhaneh Farrokhi Yekta)
- Chapter 15: Biostatistics, data mining and computational modeling (Jie Zhang)
- Chapter 16: Application of bioinformatics to Asthma (Aiping Lu)
- Chapter 17: asthma precision (Fang Chen).
