Exon prediction in eucaryotic genomes.
Two independent computer systems, NetPlantGene and AMELIE, dedicated to the identification of splice sites in plant and human genomes, respectively, are introduced here. Both methods were designed in relation to experimental work; they rely on automatically generated rules involving the nucleotide content of sequences regardless of the coding properties of exons. The specificity of plant sequences as considered in NetPlantGene is shown to enhance the quality of detection as opposed to general methods such as GRAIL. A scanning model of the acceptor site recognition is being simulated by AMELIE leading to a relatively accurate selection process of sites.
Laboratoire d'Informatique de Robotique et Micro-électronique de Montpellier (LIRMM), France.
L
L
Vignal
Y
Y
d'Aubenton-Carafa
F
F
Lisacek
E
E
Mephu Ngüifo
P
P
Rouzé
J
J
Quinqueton
C
C
Thermes
D017360:Arabidopsis / Q000235:genetics*; D001482:Base Composition; D005091:Exons; D006801:Humans; D012326:RNA Splicing; D012333:RNA, Messenger / Q000235:genetics; D017421:Sequence Analysis / Q000379:methods*; D012984:Software
D012333:RNA, Messenger