Dragon TIS Spotter: an Arabidopsis-derived predictor of translation initiation sites in plants.
Bioinformatics
; 29(1): 117-8, 2013 Jan 01.
Article
en En
| MEDLINE
| ID: mdl-23110968
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.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Iniciación de la Cadena Peptídica Traduccional
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Programas Informáticos
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Arabidopsis
Tipo de estudio:
Diagnostic_studies
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Prognostic_studies
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Risk_factors_studies
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2013
Tipo del documento:
Article
País de afiliación:
Arabia Saudita