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Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECA.
Chen, Yixin; Hao, Minsheng; Gao, Haoxiang; Li, Jiaqi; Chen, Sijie; Li, Fanhong; Wei, Lei; Zhang, Xuegong.
Afiliação
  • Chen Y; MOE Key Lab of Bioinformatics, Bioinformatics Division of BNRIST and Department of Automation, Tsinghua University, Beijing 100084, China.
  • Hao M; MOE Key Lab of Bioinformatics, Bioinformatics Division of BNRIST and Department of Automation, Tsinghua University, Beijing 100084, China.
  • Gao H; MOE Key Lab of Bioinformatics, Bioinformatics Division of BNRIST and Department of Automation, Tsinghua University, Beijing 100084, China.
  • Li J; MOE Key Lab of Bioinformatics, Bioinformatics Division of BNRIST and Department of Automation, Tsinghua University, Beijing 100084, China.
  • Chen S; MOE Key Lab of Bioinformatics, Bioinformatics Division of BNRIST and Department of Automation, Tsinghua University, Beijing 100084, China.
  • Li F; MOE Key Lab of Bioinformatics, Bioinformatics Division of BNRIST and Department of Automation, Tsinghua University, Beijing 100084, China.
  • Wei L; MOE Key Lab of Bioinformatics, Bioinformatics Division of BNRIST and Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address: weilei92@tsinghua.edu.cn.
  • Zhang X; MOE Key Lab of Bioinformatics, Bioinformatics Division of BNRIST and Department of Automation, Tsinghua University, Beijing 100084, China; School of Medicine, Tsinghua University, Beijing 100084, China; School of Life Sciences, Center for Synthetic and Systems Biology, Tsinghua University, Beijing 1
STAR Protoc ; 3(3): 101589, 2022 09 16.
Article em En | MEDLINE | ID: mdl-35942342
ABSTRACT
Human Ensemble Cell Atlas (hECA) provides a unified informatics framework and the cell-centric-assembled single-cell transcriptome data of 1,093,299 labeled human cells from 116 published datasets. In this protocol, we provide three applications of hECA "quantitative portraiture" exploration with websites, customizable reference creation for automatic cell type annotation, and "in data" cell sorting with logical conditions. We provide detail steps of connecting to the database, searching cell with conditions, downloading data, and annotating new datasets with customized reference. For complete details on the use and execution of this protocol, please refer to Chen et al. (2022).
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transcriptoma / Proteínas de Neoplasias Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transcriptoma / Proteínas de Neoplasias Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article