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...

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Bibliographic Details
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore , 2018.
Edition:1st ed. 2018.
Series:Translational Bioinformatics, 12
Subjects:
Bioinformatics.
Human physiology.
ISBN:9789811087646
ISSN:2213-2775 ;
Online Access: Get full text
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Table of Contents:
  • 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).

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