Dragon TIS Spotter: An Arabidopsis-derived predictor of translation initiation sites in plants
Type
ArticleAuthors
Magana-Mora, Arturo
Ashoor, Haitham
Jankovic, Boris R.
Kamau, Allan
Awara, Karim
Chowdhary, Rajesh
Archer, John A.C.
Bajic, Vladimir B.
KAUST Department
Computational Bioscience Research Center (CBRC)Computer Science Program
Applied Mathematics and Computational Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Date
2012-10-30Online Publication Date
2012-10-30Print Publication Date
2013-01Permanent link to this record
http://hdl.handle.net/10754/325435Metadata
Show full item recordAbstract
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.Citation
Magana-Mora A, Ashoor H, Jankovic BR, Kamau A, Awara K, et al. (2012) Dragon TIS Spotter: an Arabidopsis-derived predictor of translation initiation sites in plants. Bioinformatics 29: 117-118. doi:10.1093/bioinformatics/bts638.Publisher
Oxford University Press (OUP)Journal
BioinformaticsPubMed ID
23110968PubMed Central ID
PMC3530916Scopus Count
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/3.0
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