Motif-independent prediction of a secondary metabolism gene cluster using comparative genomics: Application to sequenced genomes of Aspergillus and ten other filamentous fungal species

DNA Research

Volumn 21, Issue 4, 2014, Pages 447-457

  Itaru, Takeda ^a,b   Myco, Umemura ^c   Hideaki, Koike ^b   Kiyoshi, Asai ^b,d   Masayuki, Machida ^a,b,c  

^a TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^c NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^d UNIVERSITY OF TOKYO   (Japan)

Author keywords

Bioinformatics; Filamentous fungi; Secondary metabolism

Indexed keywords

KOJIC ACID;

ANALYTIC METHOD; ARTICLE; ASPERGILLUS; ASPERGILLUS ORYZAE; BIOSYNTHESIS; CONTROLLED STUDY; FILAMENTOUS FUNGUS; FUNGAL GENE; FUNGAL GENOME; GENE CLUSTER; GENE IDENTIFICATION; GENE SEQUENCE; NONHUMAN; NUCLEOTIDE SEQUENCE; PROTEIN MOTIF; SECONDARY METABOLISM; SEQUENCE ANALYSIS; SPECIES COMPARISON; COMPUTER PROGRAM; GENETICS; GENOMICS; MULTIGENE FAMILY;

ASPERGILLUS; GENOME, FUNGAL; GENOMICS; MULTIGENE FAMILY; SECONDARY METABOLISM; SOFTWARE;

EID: 84906983992     PISSN: 13402838     EISSN: 17561663     Source Type: Journal    
DOI: 10.1093/dnares/dsu010     Document Type: Article

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