Algorithms for splicing junction donor recognition in genomic DNA sequences

Maisheng Yin, J. T.L. Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

The consensus sequences at splicing junctions in genomic DNA are required for pre-mRNA breaking and rejoining which must be carried out precisely. Programs currently available for identification or prediction of transcribed sequences from within genomic DNA are far from being powerful enough to elucidate genomic structure completely [2]. In this research, we develop pattern matching algorithms for 5' splicing site (donor site) recognition. Using the Motif models we develop, we can mine out the degenerate pattern information from the consensus splicing junction sequences. The experimental results show that, our algorithm can correctly recognize 93% of the total donor sites at the right positions in the test DNA group. Furthermore, more than 91% of the donor sites our algorithm predicts are correct. These precision rates are higher than the best existing donor classification algorithm [12]. The research makes a very important progress toward the development of our algorithms for full gene structure detection.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Joint Symposia on Intelligence and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-176
Number of pages8
ISBN (Print)078034863X, 9780780348639
DOIs
StatePublished - 1998
Event1998 IEEE International Joint Symposia on Intelligence and Systems - Rockville, United States
Duration: May 21 1998May 23 1998

Publication series

NameProceedings - IEEE International Joint Symposia on Intelligence and Systems

Other

Other1998 IEEE International Joint Symposia on Intelligence and Systems
Country/TerritoryUnited States
CityRockville
Period5/21/985/23/98

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

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