Fr. 134.00

Genomic Approach to Asthma

Inglese · Copertina rigida

Spedizione di solito entro 2 a 3 settimane (il titolo viene stampato sull'ordine)

Descrizione

Ulteriori informazioni

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.

Sommario

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 (XiaoruSun).- 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).







Info autore

Dr. Xiangdong Wang is Distinguished Professor at Zhongshan Hospital Fudan University; 


Dr. Zhihong Chen is Associate Director of Chronic Airway Diseases, Respiratory Division, Zhongshan Hospital, Fudan University.

Riassunto

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.

Dettagli sul prodotto

Con la collaborazione di Chen (Editore), Chen (Editore), Zhihong Chen (Editore), Zhi-Hong Chen (Editore), Xiangdon Wang (Editore), Xiangdong Wang (Editore)
Editore Springer, Berlin
 
Lingue Inglese
Formato Copertina rigida
Pubblicazione 31.08.2018
 
EAN 9789811087639
ISBN 978-981-10-8763-9
Pagine 385
Dimensioni 159 mm x 241 mm x 24 mm
Peso 798 g
Illustrazioni XVI, 385 p. 76 illus., 49 illus. in color.
Serie Translational Bioinformatics
Translational Bioinformatics
Categorie Scienze naturali, medicina, informatica, tecnica > Biologia > Altro

B, HUMAN PHYSIOLOGY, PHYSIOLOGY, bioinformatics, Biomedical and Life Sciences, Information technology: general issues

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