Dragon TIS Spotter: An Arabidopsis-derived predictor of translation initiation sites in plants

Arturo Magana-Mora, Haitham Ashoor, Boris R. Jankovic, Allan Kamau, Karim Awara, Rajesh Chowdhary, John A.C. Archer, Vladimir B. Bajic

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

In higher eukaryotes, the identification of translation initiation sites (TISs) has been focused on finding these signals in cDNA or mRNA sequences. Using Arabidopsis thaliana (A.t.) information, we developed a prediction tool for signals within genomic sequences of plants that correspond to TISs. Our tool requires only genome sequence, not expressed sequences. Its sensitivity/specificity is for A.t. (90.75%/92.2%), for Vitis vinifera (66.8%/94.4%) and for Populus trichocarpa (81.6%/94.4%), which suggests that our tool can be used in annotation of different plant genomes. We provide a list of features used in our model. Further study of these features may improve our understanding of mechanisms of the translation initiation. The Author(s) 2012. Published by Oxford University Press.
Original languageEnglish (US)
Pages (from-to)117-118
Number of pages2
JournalBioinformatics
Volume29
Issue number1
DOIs
StatePublished - Oct 30 2012

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

ASJC Scopus subject areas

  • Biochemistry
  • Computational Theory and Mathematics
  • Computational Mathematics
  • Molecular Biology
  • Statistics and Probability
  • Computer Science Applications

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