PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA; Center for Personal and Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, USA.\', \'Center for Personal and Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, USA.\', \'Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: jamesz@stanford.edu.\', \'Center for Personal and Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: howchang@stanford.edu.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S2405-4712(20)30237-410.1016/j.cels.2020.06.008
?:hasPublicationType
?:journal
  • Cell systems
is ?:pmid of
?:pmid
?:pmid
  • 32673562
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 6.32
?:rankingScore_hIndex
  • 20
is ?:relation_isRelatedTo_publication of
?:title
  • RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus.
?:type
?:year
  • 2020

Metadata

Anon_0  
expand all