Your browser doesn't support javascript.
loading
Modular, efficient and constant-memory single-cell RNA-seq preprocessing.
Melsted, Páll; Booeshaghi, A Sina; Liu, Lauren; Gao, Fan; Lu, Lambda; Min, Kyung Hoi Joseph; da Veiga Beltrame, Eduardo; Hjörleifsson, Kristján Eldjárn; Gehring, Jase; Pachter, Lior.
Afiliação
  • Melsted P; Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Reykjavik, Iceland.
  • Booeshaghi AS; Department of Mechanical Engineering, California Institute of Technology, Pasadena, CA, USA.
  • Liu L; Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.
  • Gao F; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
  • Lu L; Bioinformatics Resource Center, Beckman Institute, California Institute of Technology, Pasadena, CA, USA.
  • Min KHJ; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
  • da Veiga Beltrame E; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Hjörleifsson KE; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
  • Gehring J; Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.
  • Pachter L; Department of Genome Science, University of Washington, Seattle, WA, USA.
Nat Biotechnol ; 39(7): 813-818, 2021 07.
Article em En | MEDLINE | ID: mdl-33795888
ABSTRACT
We describe a workflow for preprocessing of single-cell RNA-sequencing data that balances efficiency and accuracy. Our workflow is based on the kallisto and bustools programs, and is near optimal in speed with a constant memory requirement providing scalability for arbitrarily large datasets. The workflow is modular, and we demonstrate its flexibility by showing how it can be used for RNA velocity analyses.
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Análise de Célula Única Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Análise de Célula Única Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article