Dragon TIS Spotter
Computational Tool
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General Information
DescriptionAn Arabidopsis-derived predictor of translation initiation sites in plants
Homepagehttp://cbrc.kaust.edu.sa/dts
Publications
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
Summary: 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.
Availability and implementation: Our tool is implemented as an artificial neural network. It is available as a web-based tool and, together with the source code, the list of features, and data used for model development, is accessible at http://cbrc.kaust.edu.sa/dts.
Contact: vladimir.bajic@kaust.edu.sa
Supplementary information : Supplementary data are available at Bioinformatics online.
Metrics:
3
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