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Genomic Approach to Asthma

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Genomic Approach to Asthma/ edited by Xiangdong Wang, Zhihong Chen.
其他作者:	Wang, Xiangdong.
面頁冊數:	XVI, 385 p. 76 illus., 49 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Bioinformatics. -
電子資源:	https://doi.org/10.1007/978-981-10-8764-6
ISBN:	9789811087646

Genomic Approach to Asthma
Genomic Approach to Asthma[electronic resource] /edited by Xiangdong Wang, Zhihong Chen. - 1st ed. 2018. - XVI, 385 p. 76 illus., 49 illus. in color.online resource. - Translational Bioinformatics,122213-2775 ;. - Translational Bioinformatics,5.

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).

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. Furthermore, it elucidates how progress in -omics research, such as “genomic,” “transcriptomic,” “protomic,” and “metabolomic,” is applied in asthma, and reports on the related series of important breakthroughs in asthma development, classification, prevention and drug sensitivity. Also covering systems biology knowledge and methodologies, computational models and biostatistical methods to analyze big data, this book provides a valuable resource for scientists and researchers in the field of asthma and respiratory diseases.

ISBN: 9789811087646

Standard No.: 10.1007/978-981-10-8764-6doiSubjects--Topical Terms:

583857
Bioinformatics.

LC Class. No.: QH324.2-324.25

Dewey Class. No.: 570.285

Genomic Approach to Asthma
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