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Introduction: The Landscape of Pulmonary Bioinformatics
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Author(s): Rahul Kumar (Department of Microbiology, Graphic Era University, Dehradun, India), Devvret Verma (Department of Biotechnology, Graphic Era University, Dehradun, India), Bahman Khoshru (University of Tabriz, Tabriz, Iran)and Adeyemi Nurudeen Olatunbosun (Federal University of Agriculture, Abeokuta, Nigeria)
Copyright: 2026
Pages: 36
Source title:
Next-Generation Bioinformatics for Pulmonary Disease Research
Source Author(s)/Editor(s): Devvret Verma (Graphic Era University, India), Debasis Mitra (Graphic Era University, India), Bhavya Mudgal (Graphic Era University, India), Suraj Vitthaloo Atram (The University of Sheffield, UK)and Rokayya Sami (Taif University, Saudi Arabia)
DOI: 10.4018/979-8-3373-4923-7.ch001
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Abstract
Pulmonary bioinformatics is an area that is rapidly developing as a blend of computational biology, data science, and respiratory medicine to improve the understanding, diagnosis, and treatment of lung disorders. With high-throughput omics technologies and large-scale clinical datasets, bioinformatics methods have become critical for the discovery of molecular signatures of chronic obstructive pulmonary disease (COPD), asthma, pulmonary fibrosis, lung cancer, and infectious diseases, such as tuberculosis and COVID-19. Using genomics, transcriptomics, proteomics, and metabolomics, together with artificial intelligence and systems biology, pulmonary bioinformatics provides a multidimensional understanding of disease mechanisms and tailored therapeutic approaches. Public databases, biobanks, and electronic health records are important resources, although there are still issues with data integration, standardization, and ethics. Advances in precision medicine, machine learning, and multi-omics integration will revolutionize respiratory health and make pulmonary bioinformatics care.
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