Computational tools for understanding sequence variability in recombination signals

Immunological Reviews

Volumn 200, Issue , 2004, Pages 57-69

  Cowell, Lindsay G ^a   Davila, Marco ^a   Ramsden, Dale ^b   Kelsoe, Garnett ^a  

^a DUKE UNIVERSITY   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LYMPHOCYTE ANTIGEN RECEPTOR; RAG1 PROTEIN; RAG2 PROTEIN; RECOMBINASE;

ACCURACY; ALGORITHM; ALLELIC EXCLUSION; B LYMPHOCYTE; BIOCHEMISTRY; CORRELATION ANALYSIS; DNA CLEAVAGE; DNA SEQUENCE; DNA TEMPLATE; GENE FUNCTION; GENE LOCUS; GENE REARRANGEMENT; GENE SEQUENCE; GENE STRUCTURE; GENETIC RECOMBINATION; GENETIC VARIABILITY; GENOME; HUMAN; MATHEMATICAL MODEL; MOLECULAR INTERACTION; NONHUMAN; NUCLEOTIDE SEQUENCE; PHYLOGENY; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROTEIN DOMAIN; PROTEIN FUNCTION; PROTEIN MOTIF; REVIEW; SCORING SYSTEM; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY; THEORETICAL MODEL; TRANSPOSON;

ANIMALS; BASE SEQUENCE; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DNA, INTERGENIC; DNA-BINDING PROTEINS; GENE REARRANGEMENT, B-LYMPHOCYTE; GENE REARRANGEMENT, T-LYMPHOCYTE; GENES, RAG-1; HUMANS; MICE; MOLECULAR SEQUENCE DATA; MUTATION; NUCLEAR PROTEINS; REGULATORY SEQUENCES, NUCLEIC ACID; SEQUENCE HOMOLOGY; SIGNAL TRANSDUCTION; VARIATION (GENETICS);

EID: 3242877717     PISSN: 01052896     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0105-2896.2004.00171.x     Document Type: Review

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