Coding theory based maximum-likelihood classifier for translation initiation regions in Escherichia coli K-12

Elebeoba May, Mladen Vouk, Donald Bitzer, David Rosnick

Research output: Contribution to journalConference article

Abstract

The messenger RNA (mRNA) was modeled as a noisy, systematic zero parity encoded signal and the ribosome as an (n, k) minimum distance block decoder. In addition, a maximum-likelihood classifier that distinguishes nRNA leader regions of translated sequences was designed. This classifier was tested using E. coli K-12 mRNA leader sequences.

Original languageEnglish (US)
JournalAnnals of Biomedical Engineering
Volume28
Issue numberSUPPL. 1
StatePublished - Dec 1 2000
Event2000 Annual Fall Meeting of the Biomedical Engineering Society - Washington, WA, USA
Duration: Oct 12 2000Oct 14 2000

ASJC Scopus subject areas

  • Biomedical Engineering

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