CodingQuarry: Highly accurate hidden Markov model gene prediction in fungal genomes using RNA-seq transcripts

BMC Genomics

Volumn 16, Issue 1, 2015, Pages

  Testa, Alison C ^a,b   Hane, James K ^a   Ellwood, Simon R ^a   Oliver, Richard P ^a  

^a CURTIN UNIVERSITY   (Australia)

^b Disease Management ^*  (Australia)

Author keywords

Fungi; Gene annotation; Gene prediction; Generalised hidden markov model

Indexed keywords

FUNGAL RNA;

AMINO ACID SEQUENCE; ARTICLE; AUTOMATION; CODINGQUARRY; CONTROLLED STUDY; FUNGAL GENE; FUNGAL GENETICS; GENE LOCUS; GENETIC TRANSCRIPTION; HIDDEN MARKOV MODEL; NONHUMAN; RNA SEQUENCE; SACCHAROMYCES CEREVISIAE; SCHIZOSACCHAROMYCES POMBE; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY; BIOLOGICAL MODEL; COMPUTER PROGRAM; FUNGAL GENOME; GENE EXPRESSION PROFILING; GENETICS; MOLECULAR GENETICS; PROBABILITY; PROCEDURES; SCHIZOSACCHAROMYCES; SEQUENCE ANALYSIS;

FUNGI; SACCHAROMYCES CEREVISIAE; SCHIZOSACCHAROMYCES POMBE;

GENE EXPRESSION PROFILING; GENES, FUNGAL; GENOME, FUNGAL; MARKOV CHAINS; MODELS, GENETIC; MOLECULAR SEQUENCE ANNOTATION; SACCHAROMYCES CEREVISIAE; SCHIZOSACCHAROMYCES; SEQUENCE ANALYSIS, RNA; SOFTWARE;

EID: 84928736296     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/s12864-015-1344-4     Document Type: Article

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