Your browser doesn't support javascript.
Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource.
Portelli, Stephanie; Olshansky, Moshe; Rodrigues, Carlos H M; D'Souza, Elston N; Myung, Yoochan; Silk, Michael; Alavi, Azadeh; Pires, Douglas E V; Ascher, David B.
  • Portelli S; Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.
  • Olshansky M; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
  • Rodrigues CHM; Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.
  • D'Souza EN; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
  • Myung Y; Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.
  • Silk M; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
  • Alavi A; Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.
  • Pires DEV; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
  • Ascher DB; Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.
Nat Genet ; 52(10): 999-1001, 2020 10.
Article in English | MEDLINE | ID: covidwho-752476

Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Viral / Betacoronavirus Limits: Humans Language: English Journal: Nat Genet Journal subject: Genetics, Medical Year: 2020 Document Type: Article Affiliation country: S41588-020-0693-3

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Viral / Betacoronavirus Limits: Humans Language: English Journal: Nat Genet Journal subject: Genetics, Medical Year: 2020 Document Type: Article Affiliation country: S41588-020-0693-3