AT excursion: A new approach to predict replication origins in viral genomes by locating AT-rich regions

BMC Bioinformatics

Volumn 8, Issue , 2007, Pages

  Chew, David S H ^a   Leung, Ming Ying ^b   Choi, Kwok Pui ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b UNIVERSITY OF TEXAS AT EL PASO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL TOOLS; DNA REPLICATIONS; DOUBLE STRANDED DNA; EUKARYOTIC GENOME; MOLECULAR MECHANISM; PREDICTION METHODS; REPLICATION ORIGIN; STATISTICAL SIGNIFICANCE;

COMPUTATIONAL METHODS; FORECASTING; VIRUSES;

GENES;

ALANINE; DOUBLE STRANDED DNA; THREONINE; VIRUS DNA;

ARTICLE; BIOINFORMATICS; COMPUTER PREDICTION; CONTROLLED STUDY; DNA REPLICATION ORIGIN; DNA VIRUS; GENE SEQUENCE; GENETIC IDENTIFICATION; HERPES VIRUS; IRIDOVIRUS; MULTIGENE FAMILY; NONHUMAN; NUCLEOTIDE SEQUENCE; POXVIRUS; PROMOTER REGION; PROTEIN LOCALIZATION; QUANTITATIVE ANALYSIS; SCORING SYSTEM; VIRUS GENOME; ALGORITHM; AT RICH SEQUENCE; CHROMOSOME MAP; DNA SEQUENCE; GENETICS; METHODOLOGY; MOLECULAR GENETICS;

ARCHAEA; BACTERIA (MICROORGANISMS); DNA VIRUSES; EUKARYOTA;

ALGORITHMS; AT RICH SEQUENCE; BASE SEQUENCE; CHROMOSOME MAPPING; GENOME, VIRAL; HERPESVIRIDAE; MOLECULAR SEQUENCE DATA; REPLICATION ORIGIN; SEQUENCE ANALYSIS, DNA;

EID: 34347396793     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-163     Document Type: Article

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