Salmon provides fast and bias-aware quantification of transcript expression

Nature Methods

Volumn 14, Issue 4, 2017, Pages 417-419

  Patro, Rob ^a   Duggal, Geet ^b   Love, Michael I ^c,d   Irizarry, Rafael A ^c,d   Kingsford, Carl ^e  

^a Stony Brook University   (United States)

^b DNAnexus   (United States)

^c DANA FARBER CANCER INSTITUTE   (United States)

^d HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^e Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NUCLEOTIDE; TRANSCRIPTOME;

ACCURACY; ALGORITHM; ARTICLE; DNA BASE COMPOSITION; GENE EXPRESSION; GENETIC TRANSCRIPTION; HUMAN; PRIORITY JOURNAL; PROBABILITY; QUANTITATIVE ANALYSIS; RNA SEQUENCE; SALMON METHOD; SENSITIVITY ANALYSIS; SOFTWARE; BAYES THEOREM; GENE EXPRESSION PROFILING; PROCEDURES; SEQUENCE ANALYSIS; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; BASE COMPOSITION; BAYES THEOREM; GENE EXPRESSION PROFILING; SEQUENCE ANALYSIS, RNA;

EID: 85014549629     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.4197     Document Type: Article

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