Dictionary-driven prokaryotic gene finding.

ABSTRACT: Gene identification, also known as gene finding or gene recognition, is among the important problems of molecular biology that have been receiving increasing attention with the advent of large scale sequencing projects. Previous strategies for solving this problem can be categorized into essentially two schools of thought: one school employs sequence composition statistics, whereas the other relies on database similarity searches. In this paper, we propose a new gene identification scheme that combines the best characteristics from each of these two schools. In particular, our method determines gene candidates among the ORFs that can be identified in a given DNA strand through the use of the Bio-Dictionary, a database of patterns that covers essentially all of the currently available sampl

SUBMITTER: Shibuya T 

PROVIDER: S-EPMC117281 | biostudies-literature | 2002 Jun

REPOSITORIES: biostudies-literature