Effective detection of variation in single-cell transcriptomes using MATQ-seq

Nature Methods

Volumn 14, Issue 3, 2017, Pages 267-270

  Sheng, Kuanwei ^a   Cao, Wenjian ^a   Niu, Yichi ^a   Deng, Qing ^a   Zong, Chenghang ^a  

^a BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA PRECURSOR; TRANSCRIPTOME; RNA;

AMPLICON; ARTICLE; CONTROLLED STUDY; DNA BARCODING; EXON; GENE EXPRESSION; HUMAN; HUMAN CELL; INTRON; PRIORITY JOURNAL; RNA SEQUENCE; SINGLE CELL ANALYSIS; SINGLE CELL RNA SEQUENCE; CELL LINE; GENE EXPRESSION PROFILING; GENETICS; GENOMICS; HEK293 CELL LINE; HIGH THROUGHPUT SEQUENCING; PROCEDURES; SEQUENCE ANALYSIS;

CELL LINE; GENE EXPRESSION PROFILING; GENOMICS; HEK293 CELLS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; RNA; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS; TRANSCRIPTOME;

EID: 85009809647     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.4145     Document Type: Article

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