skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A neural network: Multiple sensor based method for recognition of gene coding segments in human DNA sequence data

Abstract

A central focus of the Human Genome Project is to locate and characterize genes within genomic DNA sequence data. Of particular importance are genes related to cancer and other major human genetic diseases. Identification of gene segments within the DNA sequence currently relies upon tedious and time-consuming experimental methods. A new computational method developed at Oak Ridge National Laboratory (ORNL) represents an efficient alternative to these experimental procedures. This method combines a set of statistical sensors and a neural network into a single structure which is capable of locating gene segments with considerable speed and accuracy. The approach provides a powerful tool for investigators searching for disease genes. 5 refs., 3 figs.

Authors:
; ; ;
Publication Date:
Research Org.:
Oak Ridge National Lab., TN (USA)
Sponsoring Org.:
DOE/ER
OSTI Identifier:
6229622
Report Number(s):
ORNL/TM-11741
ON: DE91007462
DOE Contract Number:  
AC05-84OR21400
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; MAN; GENETIC MAPPING; ONCOGENES; DNA SEQUENCING; ALGORITHMS; COMPUTER NETWORKS; HEREDITARY DISEASES; ANIMALS; DISEASES; GENES; MAMMALS; MAPPING; MATHEMATICAL LOGIC; PRIMATES; STRUCTURAL CHEMICAL ANALYSIS; VERTEBRATES; 550400* - Genetics; 990200 - Mathematics & Computers

Citation Formats

Uberbacher, E C, Mann, R C, Hand, Jr, R C, and Mural, R J. A neural network: Multiple sensor based method for recognition of gene coding segments in human DNA sequence data. United States: N. p., 1991. Web.
Uberbacher, E C, Mann, R C, Hand, Jr, R C, & Mural, R J. A neural network: Multiple sensor based method for recognition of gene coding segments in human DNA sequence data. United States.
Uberbacher, E C, Mann, R C, Hand, Jr, R C, and Mural, R J. Fri . "A neural network: Multiple sensor based method for recognition of gene coding segments in human DNA sequence data". United States.
@article{osti_6229622,
title = {A neural network: Multiple sensor based method for recognition of gene coding segments in human DNA sequence data},
author = {Uberbacher, E C and Mann, R C and Hand, Jr, R C and Mural, R J},
abstractNote = {A central focus of the Human Genome Project is to locate and characterize genes within genomic DNA sequence data. Of particular importance are genes related to cancer and other major human genetic diseases. Identification of gene segments within the DNA sequence currently relies upon tedious and time-consuming experimental methods. A new computational method developed at Oak Ridge National Laboratory (ORNL) represents an efficient alternative to these experimental procedures. This method combines a set of statistical sensors and a neural network into a single structure which is capable of locating gene segments with considerable speed and accuracy. The approach provides a powerful tool for investigators searching for disease genes. 5 refs., 3 figs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1991},
month = {2}
}

Technical Report:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that may hold this item. Keep in mind that many technical reports are not cataloged in WorldCat.

Save / Share: