Identification of sequence motifs significantly associated with antisense activity

BMC Bioinformatics

Volumn 8, Issue , 2007, Pages

  McQuisten, Kyle A ^a   Peek, Andrew S ^a  

^a INTEGRATED DNA TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTISENSE ACTIVITY; ANTISENSE OLIGONUCLEOTIDES; MODELLING PROCESS; OLIGONUCLEOTIDE SEQUENCES; PREDICTIVE MODELING; RANDOMIZATION PROCEDURE; RNA-INDUCED SILENCING COMPLEXES; SUPPORT VECTOR REGRESSION (SVR);

EFFICIENCY; NUCLEIC ACIDS; OLIGONUCLEOTIDES;

THERMODYNAMIC PROPERTIES;

ANTISENSE OLIGONUCLEOTIDE; RNA INDUCED SILENCING COMPLEX; COMPLEMENTARY DNA; COMPLEMENTARY RNA;

ARTICLE; BIOINFORMATICS; CONTROLLED STUDY; CORRELATION ANALYSIS; HYPOTHESIS; NUCLEOTIDE SEQUENCE; PREDICTION; PROTEIN MOTIF; RANDOMIZATION; RNA INTERFERENCE; SUPPORT VECTOR MACHINE; THERMODYNAMICS; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER SIMULATION; DNA SEQUENCE; EVALUATION; GENE TARGETING; GENETICS; METHODOLOGY; MOLECULAR GENETICS; SEQUENCE ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BASE SEQUENCE; COMPUTER SIMULATION; DNA, ANTISENSE; GENE TARGETING; MODELS, GENETIC; MOLECULAR SEQUENCE DATA; PATTERN RECOGNITION, AUTOMATED; RNA, ANTISENSE; SEQUENCE ANALYSIS, DNA; SEQUENCE ANALYSIS, RNA;

EID: 34447517391     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-184     Document Type: Article

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