Introduction

Exact localization of the translation initiation sites (TIS) in prokaryotic genomes is difficult to achieve using conventional gene finders. We recently introduced the program TICO for postprocessing TIS predictions based on a completely unsupervised learning algorithm. The program can be utilized through our web interface at http://tico.gobics.de/ and it is also freely available as a commandline version for Linux and Windows. The latest version of our program provides a tool for visualization of the resulting TIS model. Although the underlying method is not based on any specific assumptions about characteristic sequence features of prokaryotic TIS the prediction rates of our tool are competitive on experimentally verified test data.

Publications

  1. TICO: a tool for postprocessing the predictions of prokaryotic translation initiation sites.
    Cite this
    Tech M, Morgenstern B, Meinicke P, 2006-07-01 - Nucleic acids research
  2. An unsupervised classification scheme for improving predictions of prokaryotic TIS.
    Cite this
    Tech M, Meinicke P, 2006-01-01 - BMC bioinformatics
  3. TICO: a tool for improving predictions of prokaryotic translation initiation sites.
    Cite this
    Tech M, Pfeifer N, Morgenstern B, Meinicke P, 2005-09-01 - Bioinformatics (Oxford, England)

Credits

  1. M Tech
    Developer

  2. B Morgenstern
    Developer

  3. P Meinicke
    Investigator

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Summary
AccessionBT000234
Tool TypeApplication
Category
PlatformsLinux/Unix
Technologies
User InterfaceTerminal Command Line
Download Count0
Submitted ByP Meinicke