Detection of respiratory viruses in clinical samples: Exploring next generation sequencing and clinical metagenomics

Shubham Yadav; Vaishnav Wagh; Sakshi Pajai; Anto Simon M. Joseph; Ravindran Jaganathan; Durba Banerjee

doi:10.53730/ijhs.v6nS6.12062

Authors

Shubham Yadav Department of Microbiology, Jawaharlal Nehru Medical College, Belagavi (KLE Deemed to be University)
Vaishnav Wagh Department of Multidisciplinary Research Unit, AFMC, Pune
Sakshi Pajai Department of Biochemistry, AIIMS Nagpur
Anto Simon Joseph M. Department of Biotechnology, Sri Krishna Arts and Science College, Coimbatore
Ravindran Jaganathan Preclinical Department, Royal College of Medicine Perak, University of Kuala Lumpur
Durba Banerjee Department of Biotechnology, University of Gautam Buddha

Keywords:

comprehensive mapping, next-generation sequencing (NGS), genomic sequencing

Abstract

Respiratory viral infections accounts for more than 4.25 million fatalities each year, making them the third most common cause of death worldwide. Although the majority of acute respiratory infections are assumed to be caused by viruses, the exact cause is often unknown. Comprehensive mapping of viral genomic sequencing is done, which also shows a significant degree of viral heterogeneity that contributes to the early diagnosis of respiratory illness. The development of next-generation sequencing (NGS), particularly for the detection of unidentified respiratory viruses, has revolutionized the field of novel viral genome detection.This review focusses on different models of sequencing techniques available for novel viral genome detection. Although there are still major technical and ethical issues in using this technologies for clinical detection, this technology has great promise for the future as a way to better understand respiratory viruses and make diagnoses that are more precise.

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