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Publications

  • Naushin, S. et al. Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2. Elife 10, doi:10.7554/eLife.66537 (2021).
  • Dhar, M. S. et al. Genomic characterization and epidemiology of an emerging SARS-CoV-2 variant in Delhi, India. Science 374, 995-999, doi:10.1126/science.abj9932 (2021).
  • Ujjainiya, R. et al. High failure rate of ChAdOx1-nCoV19 immunization against asymptomatic infection in healthcare workers during a Delta variant surge. Nat Commun 13, 1726, doi:10.1038/s41467-022-29404-3 (2022).
  • Singh, P. et al. A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys. Comput Biol Med 146, 105419, doi:10.1016/j.compbiomed.2022.105419 (2022).

Phenome India

CSIR-North East Institute of Science and Technology,
Jorhat,
Assam,
Pin-785006
Email: jatinkalita@neist.res.in

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Zonal Labs

  • CSIR-IGIB, Delhi (North Zone)
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  • CSIR-NEIST, Jorhat (North East)