An iterative strategy combining biophysical criteria and duration hidden Markov models for structural predictions of Chlamydia trachomatis σ66 promoters

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages 271-

  Mallios, Ronna R ^a,b   Ojcius, David M ^a   Ardell, David H ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINDING ENERGY; BIOINFORMATICS; BIOPHYSICS; DNA; DNA SEQUENCES; ESCHERICHIA COLI; FORECASTING; HIDDEN MARKOV MODELS; ITERATIVE METHODS; POLYMERS; RNA; STOCHASTIC SYSTEMS; TRANSCRIPTION; TRELLIS CODES;

BACTERIAL TRANSCRIPTION; BINARY LOGISTIC REGRESSION; BINDING AFFINITIES; BIOPHYSICAL PROPERTIES; CHLAMYDIA TRACHOMATIS; HIGH DEGREE OF ACCURACY; PROMOTER PREDICTION; TRANSCRIPTIONAL MECHANISMS;

STOCHASTIC MODELS;

BACTERIAL DNA; RNA POLYMERASE;

ANALYTICAL PARAMETERS; ARTICLE; BACTERIAL GENE; CHLAMYDIA TRACHOMATIS; DNA DETERMINATION; GENE SEQUENCE; GENETIC ALGORITHM; GENETIC TRANSCRIPTION; GENOME ANALYSIS; HIDDEN MARKOV MODEL; NONHUMAN; PREDICTION; PROMOTER REGION; PROTEIN STABILITY; RELIABILITY; SCORING SYSTEM; STOCHASTIC MODEL;

BACTERIA (MICROORGANISMS); CHLAMYDIA TRACHOMATIS; ESCHERICHIA COLI;

EID: 70349734701     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-271     Document Type: Article

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