• Users Online: 317
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
Year : 2022  |  Volume : 24  |  Issue : 3  |  Page : 25-31

Role of next-generation sequencing in diagnosing, tracking and vaccine development of severe acute respiratory syndrome coronavirus 2

1 Department of Multi-Disciplinary Research Unit, Department of Microbiology, Gandhi Medical College and Hospital, Secunderabad, Telangana, India
2 Department of Microbiology, Gandhi Medical College and Hospital, Secunderabad, Telangana, India
3 Department of Multi-Disciplinary Research Unit, Gandhi Medical College and Hospital, Secunderabad, Telangana, India

Correspondence Address:
Madhavi Latha Manolla
Department of MDRU, Gandhi Medical College and Hospital, Secunderabad - 500 003, Telangana
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jacm.jacm_18_22

Rights and Permissions

An objective method of detecting infections without the requirement for clinical hypotheses is provided using next-generation sequencing (NGS) technology for the diagnosis of infectious disorders. In order to inform nations and the general public about any potential changes that may be required to respond to the variant and stop its spread, the World Health Organization and its international networks of experts have been continuously monitoring changes to the virus based on NGS data throughout the current pandemic. When tracking ongoing outbreaks, monitoring for novel pathogens or spotting potentially harmful variations of well-known diseases, NGS offers substantial advantages. Due to the technology's quick creation of high-resolution sequence data, researchers and research teams can access it easily and share it with one another. Numerous candidate vaccines have been created on several platforms quickly. Many of them have worked in crisis circumstances in numerous nations worldwide. The breakthrough infections could only be tracked by the use of NGS technology. In this review, we discussed in silico analysis using current bioinformatics approaches, and sequencing reveals unique emerging severe acute respiratory syndrome coronavirus 2 variations which have the potential to cause novel illnesses in the future.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded5    
    Comments [Add]    

Recommend this journal