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

Identifieur interne : 002728 ( Main/Exploration ); précédent : 002727; suivant : 002729

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

Auteurs : Arturo Magana-Mora [Arabie saoudite] ; Haitham Ashoor ; Boris R. Jankovic ; Allan Kamau ; Karim Awara ; Rajesh Chowdhary ; John A C. Archer ; Vladimir B. Bajic

Source :

RBID : pubmed:23110968

Descripteurs français

English descriptors

Abstract

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.


DOI: 10.1093/bioinformatics/bts638
PubMed: 23110968
PubMed Central: PMC3530916


Affiliations:


Links toward previous steps (curation, corpus...)


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<p>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.</p>
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