000			03827nam a22003975i 4500
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020			_a9789811087646
024	7		_a10.1007/978-981-10-8764-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
050		4	_aQH324.2 2018 EB
245	0	0	_aGenomic Approach to Asthma _cedited by Xiangdong Wang, Zhihong Chen.
264		1	_aSingapore _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XVI, 385 páginas 76 ilustraciones,49 ilustraciones a color)
336			_aTexto _btxt _2rdacontent
347			_atext file _bPDF
490	0		_aTranslational Bioinformatics _x2213-2775 _v12
490	0		_aBiomedical and Life Sciences (Springer-11642)
505	0		_aChapter 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).
520	3		_aThis 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.
650		7	_aBioinformática _2embne _9160489
650		7	_aFisiología humana _2embne _9140024
700	1		_aWang, Xiangdong _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n82137258 _986082
700	1		_aChen, Zhihong _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nr91014656
776	0	8	_iEdición impresa: _z9789811087639
776	0	8	_iEdición impresa: _z9789811087653
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-8764-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc
988			_aEBSPRINGER_2018
998			_aSI _b02/2019 _cm _dz _ep _feng _ggw _h0