TY  - BOOK
AU  - Saha,Sudipto
AU  - Majumdar,Sreyashi
AU  - Bhattacharyya,Parthasarathi
ED  - SpringerLink (Online service)
TI  - Pulmonomics: Omics Approaches for Understanding Pulmonary Diseases
SN  - 9789819935055
AV  - R850.A1-854 
U1  - 610.72 23
PY  - 2023///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Medicine
KW  - Research
KW  - Biology
KW  - Genetics
KW  - Bioinformatics
KW  - Biomedical Research
KW  - Genetics and Genomics
N1  - Acceso multiusuario; Chapter 1_Introduction to Pulmonary Diseases and OMICS approaches -- Chapter 2_Obstructive Pulmonary Diseases -- Chapter 3_COPD (Chronic Obstructive Pulmonar Diseases) -- Chapter 4_ Asthma -- Chapter 5_Other obstructive airway diseases like Bronchiectases, Focal airway narrowing -- Chapter 6_Restrictive Pulmonary Diseases (Common qualities and features with examples) -- Chapter 7_Interstitial Pulmonary fibrosis (IPF) -- Chapter 8_Sarcoidosis -- Chapter 9_ Other restrictive airway diseases like pneumonitis, pleural thickening -- Chapter 10_Vascular Diseases -- Chapter 11_Pulmonary hypertension -- Chapter 12_Pulmonary edema -- Chapter 13_ Other vascular diseases like Pulmonary Edema, Cor Pulmonale -- Chapter 14_Infectious Diseases -- Chapter 15_Tuberculosis -- Chapter 16_Cystic fibrosis -- Chapter 17_Pneumonia, COVID-19 and others -- Chapter 18_Neoplastic Diseases/Lung Cancer
N2  - This book comprehensively reviews various omics approaches like genomics, proteomics, transcriptomics, and metabolomics for understanding pulmonary disease at molecular and systems levels. The initial chapters present the pathogenesis of major pulmonary diseases, namely, obstructive diseases, restrictive diseases, vascular diseases, infectious diseases, and neoplastic carcinoma. The book chapters provide current information about the role of the microbiome and applications of medical imaging, bioinformatics tools, and databases for diagnosis and designing treatment strategies against complex lung diseases. Further, the book discusses omics technologies to identify biomarkers for the early diagnosis and prognosis of pulmonary diseases. Finally, the book elucidates the multi-omics approaches and data integration using mathematical modeling for insights into the disease etiology towards improving the prognostics and predictive accuracy of disease phenotypes
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-3505-5
ER  -