Self-Organizing Map (SOM) unveils and visualizes hidden sequence characteristics of a wide range of eukaryote genomes

Gene

Volumn 365, Issue 1-2 SPEC. ISS., 2006, Pages 27-34

  Abe, Takashi ^a   Sugawara, Hideaki ^a   Kanaya, Shigehiko ^b   Kinouchi, Makoto ^c   Ikemura, Toshimichi ^a  

^a GRADUATE UNIVERSITY FOR ADVANCED STUDIES   (Japan)

^b NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^c YAMAGATA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPARATIVE GENE MAPPING; CONFERENCE PAPER; EUKARYOTE; GENE CLUSTER; GENE FREQUENCY; GENE SEQUENCE; GENETIC TRAIT; GENOME ANALYSIS; INTRON; PRIORITY JOURNAL; SPECIES COMPARISON; UNTRANSLATED REGION;

3' UNTRANSLATED REGIONS; 5' UNTRANSLATED REGIONS; ALGORITHMS; ANIMALS; BASE SEQUENCE; CHROMOSOME MAPPING; COMPUTATIONAL BIOLOGY; EUKARYOTIC CELLS; GENOME; GENOME, HUMAN; GENOME, PLANT; GENOMICS; HUMANS; INTRONS; MICROSATELLITE REPEATS; MOLECULAR SEQUENCE DATA; NEURAL NETWORKS (COMPUTER); OLIGONUCLEOTIDES; SEQUENCE ANALYSIS, DNA; SPECIES SPECIFICITY; TRINUCLEOTIDE REPEATS;

EUKARYOTA;

EID: 31844456638     PISSN: 03781119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gene.2005.09.040     Document Type: Conference Paper

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