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REGANOR

Authors
  • Linke, Burkhard1
  • McHardy, Alice C.2
  • Neuweger, Heiko1
  • Krause, Lutz1
  • Meyer, Folker1
  • 1 Universität Bielefeld, CeBiTec/BRF, Bielefeld, D-33594, Germany , Bielefeld (Germany)
  • 2 IBM Thomas J. Watson Research Center, Yorktown Heights, New York, USA , Yorktown Heights (United States)
Type
Published Article
Journal
Applied Bioinformatics
Publisher
Springer International Publishing
Publication Date
Sep 01, 2006
Volume
5
Issue
3
Pages
193–198
Identifiers
DOI: 10.2165/00822942-200605030-00008
Source
Springer Nature
Keywords
License
Yellow

Abstract

With >1000 prokaryotic genome sequencing projects ongoing or already finished, comprehensive comparative analysis of the gene content of these genomes has become viable. To allow for a meaningful comparative analysis, gene prediction of the various genomes should be as accurate as possible. It is clear that improving the state of genome annotation requires automated gene identification methods to cope with the influence of artifacts, such as genomic GC content. There is currently still room for improvement in the state of annotations. We present a web server and a database of high-quality gene predictions. The web server is a resource for gene identification in prokaryote genome sequences. It implements our previously described, accurate gene finding method REGANOR. We also provide novel gene predictions for 241 complete, or almost complete, prokaryotic genomes. We demonstrate how this resource can easily be utilised to identify promising candidates for currently missing genes from genome annotations with several examples. All data sets are available online.

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