Gene prediction methods

William H. Majoros, Ian F Korf, Uwe Ohler

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Most computational gene-finding methods in current use are derived from the fields of natural language processing and speech recognition. These latter fields are concerned with parsing spoken or written language into functional components such as nouns, verbs, and phrases of various types. The parsing task is governed by a set of syntax rules that dictate which linguistic elements may immediately follow each other in well-formed sentences-for example, The problem of gene-finding is rather similar to linguistic parsing in that we wish to partition a sequence of letters into elements of biological relevance, such as exons, introns, and the intergenic regions separating genes. That is, we wish to not only find the genes, but also to predict their internal exon-intron structure so that the encoded protein(s) may be deduced. Figure 5.1 illustrates this internal structure for a typical gene.

Original languageEnglish (US)
Title of host publicationBioinformatics: Tools and Applications
PublisherSpringer New York
Pages99-119
Number of pages21
ISBN (Print)9783540241669
DOIs
Publication statusPublished - 2007

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ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Majoros, W. H., Korf, I. F., & Ohler, U. (2007). Gene prediction methods. In Bioinformatics: Tools and Applications (pp. 99-119). Springer New York. https://doi.org/10.1007/978-0-387-92738-1_5