DNA sequence pattern recognition methods in GRAIL

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Description

The goal of the GRAIL project has been to create a comprehensive analysis environment where a host of questions about genes and genome structure can be answered as quickly and accurately as possible. Constructing this system has entailed solving a number of significant technical challenges including: (a) making coding recognition in sequence more sensitive and accurate, (b) compensating for isochore base compositional effects in coding prediction, (c) developing methods to determine which parts of each strand of a long genomic DNA are the coding strand, (d) improving the accuracy of splice site prediction and recognizing non-consensus sites, and (e) recognizing ... continued below

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9 p.

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Uberbacher, E.C.; Xu, Ying; Shah, M.; Matis, S.; Guan, X. & Mural, R.J. December 31, 1995.

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Description

The goal of the GRAIL project has been to create a comprehensive analysis environment where a host of questions about genes and genome structure can be answered as quickly and accurately as possible. Constructing this system has entailed solving a number of significant technical challenges including: (a) making coding recognition in sequence more sensitive and accurate, (b) compensating for isochore base compositional effects in coding prediction, (c) developing methods to determine which parts of each strand of a long genomic DNA are the coding strand, (d) improving the accuracy of splice site prediction and recognizing non-consensus sites, and (e) recognizing variable regulatory structures such as polymerase II promoters. An additional challenge has been to construct algorithms which compensate for the deleterious effects of insertion or deletion (indel) errors in the coding region recognition process. This paper addresses progress on these technical issues and the current state of sequence feature recognition methods.

Physical Description

9 p.

Notes

OSTI as DE96005358

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  • DIMACS workshop on gene-finding and gene structure prediction, Philadelphia, PA (United States), 13-14 Oct 1995

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  • Other: DE96005358
  • Report No.: CONF-9510318--1
  • Grant Number: AC05-84OR21400
  • Office of Scientific & Technical Information Report Number: 206419
  • Archival Resource Key: ark:/67531/metadc663881

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  • December 31, 1995

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

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  • Jan. 19, 2016, 12:52 p.m.

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Uberbacher, E.C.; Xu, Ying; Shah, M.; Matis, S.; Guan, X. & Mural, R.J. DNA sequence pattern recognition methods in GRAIL, article, December 31, 1995; Tennessee. (digital.library.unt.edu/ark:/67531/metadc663881/: accessed August 21, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.