Incorporation of splice site probability models for non-canonical introns improves gene structure prediction in plants

Bioinformatics

Volumn 21, Issue SUPPL. 3, 2005, Pages

  Sparks, Michael E ^a   Brendel, Volker ^a,b  

^a IOWA STATE UNIVERSITY   (United States)

^b Iowa State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DINUCLEOTIDE; GUANINE; MESSENGER RNA; PLANT RNA; THYMINE;

AB INITIO CALCULATION; ARABIDOPSIS; ARTICLE; CLADISTICS; COMPUTER PROGRAM; CONTROLLED STUDY; EUKARYOTE; GENE STRUCTURE; GENOME; INTRON; NONHUMAN; PLANT; PREDICTION; PRIORITY JOURNAL; PROBABILITY; RICE; RNA SPLICING; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ARABIDOPSIS; EUKARYOTA;

EID: 28844508764     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti1205     Document Type: Article

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