Gene Identification and Analysis: An Application of Neural Network-based Information Fusion
نویسندگان
چکیده
Itlcntifyiiig gciics witliiii largc regioiis of uricliaractcrizctl DN.4 is a difficult uiiclertakirig x id is curreiitly tlic focus of iiiii~iy rescarcli efforts. We describe a gc'iie localizatioii a i i d iriotlelirig systern. called GRXIL. GR.4IL is a multiple seiisor-iieiird rictwork Ix~sctl s p terii. It localizes genes iii moiiyirious DNX scqucricc by recogiiizirig gene features related to protein-coding rcgioiis a i i d tlic bouiidarics of codiiig regions. e.g. splice sit cs. arid then cornbiiics the rccogiiizcd featurcs using a rieural Iietwork system. Localized coding regions tire tlicii "optimally" parsed iiito a gem model. RN.A pol\-~ncrasc I1 promoters can also hc predicted. Througli years of extensive testing, GR-AIL corisistciitlg localizes about 90'& of codiiig portions of test genes with a falsc positirc rate of about 10%. X iiurriber of geiies for major genetic diseases haw beeri located througli tlie use of GR.XIL. ar id over 1000 researcli laboratories worlclwide use GR .AIL on regular bases for localizatioii of geries on tlicir newly sequenced DXA.
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