Massive mining of publicly available RNA-seq data from human and mouse

Nature Communications

Volumn 9, Issue 1, 2018, Pages

  Lachmann, Alexander ^a   Torre, Denis ^a   Keenan, Alexandra B ^a   Jagodnik, Kathleen M ^a   Lee, Hoyjin J ^a   Wang, Lily ^a   Silverstein, Moshe C ^a   Ma'ayan, Avi ^a  

^a MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELL; GENE EXPRESSION; GENOME; MINING; PROTEIN; RNA; RODENT; VISUALIZATION;

ACCESS TO INFORMATION; ARTICLE; BIOLOGICAL FUNCTIONS; CELL LINE; CLOUD COMPUTING; COST; DATA MINING; GENE EXPRESSION; GENE FUNCTION; HUMAN; INTERNET; MOUSE; NONHUMAN; PROTEIN PROTEIN INTERACTION; RNA SEQUENCE; SEQUENCE ALIGNMENT; ANIMAL; GENE ONTOLOGY; GENE REGULATORY NETWORK; GENETIC DATABASE; GENOME; HIGH THROUGHPUT SEQUENCING; MOLECULAR GENETICS; PROCEDURES; PROTEIN ANALYSIS; SOFTWARE;

TRANSCRIPTOME;

ANIMALS; DATA MINING; DATABASES, GENETIC; GENE ONTOLOGY; GENE REGULATORY NETWORKS; GENOME; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; INTERNET; MICE; MOLECULAR SEQUENCE ANNOTATION; PROTEIN INTERACTION MAPPING; SOFTWARE; TRANSCRIPTOME;

EID: 85045272055     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/s41467-018-03751-6     Document Type: Article

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