Granatum: A graphical single-cell RNA-Seq analysis pipeline for genomics scientists

Genome Medicine

Volumn 9, Issue 1, 2017, Pages

  Zhu, Xun ^a,b   Wolfgruber, Thomas K ^a,b   Tasato, Austin ^c   Arisdakessian, Cédric ^a,b   Garmire, David G ^c   Garmire, Lana X ^a,b  

^a UNIVERSITY OF HAWAII   (United States)

^b UNIVERSITY OF HAWAII CANCER CENTER   (United States)

^c University of Hawaii at Manoa   (United States)

Author keywords

Clustering; Differential expression; Gene expression; Graphical; Imputation; Normalization; Pathway; Pseudo time; Single cell; Software

Indexed keywords

ACCESS TO INFORMATION; ARTICLE; BIOINFORMATICS; CLUSTER ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; GENE EXPRESSION; GENE ONTOLOGY; GENOMICS; PRIORITY JOURNAL; PROTEIN PROTEIN INTERACTION; RNA SEQUENCE; SEQUENCE ANALYSIS; SINGLE CELL ANALYSIS; SOFTWARE; TIME SERIES ANALYSIS; PROCEDURES;

GENOMICS; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS; SOFTWARE;

EID: 85037364770     PISSN: None     EISSN: 1756994X     Source Type: Journal    
DOI: 10.1186/s13073-017-0492-3     Document Type: Article

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