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Comprehensive generation, visualization, and reporting of quality control metrics for single-cell RNA sequencing data.
Hong, Rui; Koga, Yusuke; Bandyadka, Shruthi; Leshchyk, Anastasia; Wang, Yichen; Akavoor, Vidya; Cao, Xinyun; Sarfraz, Irzam; Wang, Zhe; Alabdullatif, Salam; Jansen, Frederick; Yajima, Masanao; Johnson, W Evan; Campbell, Joshua D.
Afiliación
  • Hong R; Bioinformatics Program, Boston University, Boston, MA, USA.
  • Koga Y; Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
  • Bandyadka S; Bioinformatics Program, Boston University, Boston, MA, USA.
  • Leshchyk A; Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
  • Wang Y; Bioinformatics Program, Boston University, Boston, MA, USA.
  • Akavoor V; Department of Biology, Boston University, Boston, MA, USA.
  • Cao X; Bioinformatics Program, Boston University, Boston, MA, USA.
  • Sarfraz I; Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
  • Wang Z; Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
  • Alabdullatif S; Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
  • Jansen F; Software & Application Innovation Lab, Rafik B. Hariri Institute for Computing and Computational Science and Engineering, Boston, MA, USA.
  • Yajima M; Software & Application Innovation Lab, Rafik B. Hariri Institute for Computing and Computational Science and Engineering, Boston, MA, USA.
  • Johnson WE; Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.
  • Campbell JD; Bioinformatics Program, Boston University, Boston, MA, USA.
Nat Commun ; 13(1): 1688, 2022 03 30.
Article en En | MEDLINE | ID: mdl-35354805

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Benchmarking Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Benchmarking Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos