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@ARTICLE{Kaur:177491,
      author       = {A. Kaur and M. Chopra and M. Bhushan and S. Gupta and H.
                      Kumari P and N. Sivagurunathan and N. Shukla and S.
                      Rajagopal and P. Bhalothia and P. Sharma and J. Naravula and
                      R. Suravajhala and A. Gupta and B. A. Abbasi and P. Goswami
                      and H. Singh and R. Narang and R. Polavarapu and K. M.
                      Medicherla and J. Valadi and A. Kumar S and G. Chaubey and
                      K. K. Singh and O. R. Bandapalli$^*$ and P. B. Kavi Kishor
                      and P. Suravajhala},
      title        = {{T}he {O}mic {I}nsights on {U}nfolding {S}aga of
                      {COVID}-19.},
      journal      = {Frontiers in immunology},
      volume       = {12},
      issn         = {1664-3224},
      address      = {Lausanne},
      publisher    = {Frontiers Media},
      reportid     = {DKFZ-2021-02578},
      pages        = {724914},
      year         = {2021},
      abstract     = {The year 2019 has seen an emergence of the novel
                      coronavirus named severe acute respiratory syndrome
                      coronavirus 2 (SARS-CoV-2) causing coronavirus disease of
                      2019 (COVID-19). Since the onset of the pandemic, biological
                      and interdisciplinary research is being carried out across
                      the world at a rapid pace to beat the pandemic. There is an
                      increased need to comprehensively understand various aspects
                      of the virus from detection to treatment options including
                      drugs and vaccines for effective global management of the
                      disease. In this review, we summarize the salient findings
                      pertaining to SARS-CoV-2 biology, including symptoms, hosts,
                      epidemiology, SARS-CoV-2 genome, and its emerging variants,
                      viral diagnostics, host-pathogen interactions, alternative
                      antiviral strategies and application of machine learning
                      heuristics and artificial intelligence for effective
                      management of COVID-19 and future pandemics.},
      subtyp        = {Review Article},
      keywords     = {COVID-19 (Other) / ORFs (Other) / SARS-CoV-2 (Other) /
                      co-morbidities (Other) / machine learning (Other)},
      cin          = {B062},
      ddc          = {610},
      cid          = {I:(DE-He78)B062-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:34745097},
      pmc          = {pmc:PMC8564481},
      doi          = {10.3389/fimmu.2021.724914},
      url          = {https://inrepo02.dkfz.de/record/177491},
}