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Title: GRAIL: A multi-agent neural network system for gene identification

Abstract

Identifying genes within large regions of uncharacterized DNA is a difficult undertaking and is currently the focus of many research efforts. The authors describe a gene localization and modeling system, called GRAIL. GRAIL is a multiple sensor-neural network-based system. It localizes genes in anonymous DNA sequence by recognizing features related to protein-coding regions and the boundaries of coding regions, and then combines the recognized features using a neural network system. Localized coding regions are then optimally parsed into a gene model. Through years of extensive testing, GRAIL consistently localizes about 90% of coding portions of test genes with a false positive rate of about 10%. A number of genes for major genetic diseases have been located through the use of GRAIL, and over 1,000 research laboratories worldwide use GRAIL on regular bases for localization of genes on their newly sequenced DNA.

Authors:
; ; ; ;  [1]
  1. Oak Ridge National Lab., TN (United States)
Publication Date:
OSTI Identifier:
398155
Resource Type:
Journal Article
Journal Name:
Proceedings of the IEEE
Additional Journal Information:
Journal Volume: 84; Journal Issue: 10; Other Information: PBD: Oct 1996
Country of Publication:
United States
Language:
English
Subject:
55 BIOLOGY AND MEDICINE, BASIC STUDIES; DNA SEQUENCING; G CODES; PROTEINS; GENES; NEURAL NETWORKS; MOLECULAR BIOLOGY

Citation Formats

Xu, Y, Mural, R J, Einstein, J R, Shah, M B, and Uberbacher, E C. GRAIL: A multi-agent neural network system for gene identification. United States: N. p., 1996. Web.
Xu, Y, Mural, R J, Einstein, J R, Shah, M B, & Uberbacher, E C. GRAIL: A multi-agent neural network system for gene identification. United States.
Xu, Y, Mural, R J, Einstein, J R, Shah, M B, and Uberbacher, E C. Tue . "GRAIL: A multi-agent neural network system for gene identification". United States.
@article{osti_398155,
title = {GRAIL: A multi-agent neural network system for gene identification},
author = {Xu, Y and Mural, R J and Einstein, J R and Shah, M B and Uberbacher, E C},
abstractNote = {Identifying genes within large regions of uncharacterized DNA is a difficult undertaking and is currently the focus of many research efforts. The authors describe a gene localization and modeling system, called GRAIL. GRAIL is a multiple sensor-neural network-based system. It localizes genes in anonymous DNA sequence by recognizing features related to protein-coding regions and the boundaries of coding regions, and then combines the recognized features using a neural network system. Localized coding regions are then optimally parsed into a gene model. Through years of extensive testing, GRAIL consistently localizes about 90% of coding portions of test genes with a false positive rate of about 10%. A number of genes for major genetic diseases have been located through the use of GRAIL, and over 1,000 research laboratories worldwide use GRAIL on regular bases for localization of genes on their newly sequenced DNA.},
doi = {},
journal = {Proceedings of the IEEE},
number = 10,
volume = 84,
place = {United States},
year = {1996},
month = {10}
}