A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-seq data

Genome Research

Volumn 21, Issue 10, 2011, Pages 1728-1737

  Skelly, Daniel A ^a   Johansson, Marnie ^a   Madeoy, Jennifer ^a   Wakefield, Jon ^a   Akey, Joshua M ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEMENTARY DNA;

ALTERNATIVE RNA SPLICING; ARTICLE; DIPLOIDY; FUNGAL STRAIN; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE LOCUS; GENETIC VARIABILITY; HIGH THROUGHPUT SEQUENCING; NONHUMAN; PHENOTYPE; PRIORITY JOURNAL; RNA SEQUENCE; SACCHAROMYCES CEREVISIAE; TRANSCRIPTION TERMINATION;

ALLELES; ALTERNATIVE SPLICING; BAYES THEOREM; GENE EXPRESSION; HUMANS; MARKOV CHAINS; MODELS, GENETIC; MONTE CARLO METHOD; POLYMORPHISM, SINGLE NUCLEOTIDE; ROC CURVE; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SEQUENCE ANALYSIS, RNA; TRANSCRIPTION, GENETIC;

SACCHAROMYCES CEREVISIAE;

EID: 80053522581     PISSN: 10889051     EISSN: 15495469     Source Type: Journal    
DOI: 10.1101/gr.119784.110     Document Type: Article

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