swMATH ID: 22449
Software Authors: Chen, W.; Feng, P. -M.; Deng, E. -Z.; Lin, H.; Chou, K. -C.
Description: iTIS-PseTNC: a sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition. Translation is a key process for gene expression. Timely identification of the translation initiation site (TIS) is very important for conducting in-depth genome analysis. With the avalanche of genome sequences generated in the postgenomic age, it is highly desirable to develop automated methods for rapidly and effectively identifying TIS. Although some computational methods were proposed in this regard, none of them considered the global or long-range sequence-order effects of DNA, and hence their prediction quality was limited. To count this kind of effects, a new predictor, called ”iTIS-PseTNC,” was developed by incorporating the physicochemical properties into the pseudo trinucleotide composition, quite similar to the PseAAC (pseudo amino acid composition) approach widely used in computational proteomics. It was observed by the rigorous cross-validation test on the benchmark dataset that the overall success rate achieved by the new predictor in identifying TIS locations was over 97
Homepage: https://www.ncbi.nlm.nih.gov/pubmed/25016190
Related Software: iRSpot-PseDNC; iPro54-PseKNC; iAMP-2L; PseKNC; iNitro-Tyr; iCTX-Type; iPPI-Esml; iNuc-PseKNC; iSNO-PseAAC; iRSpot-TNCPseAAC; Pse-in-One; propy; iDNA-Methyl; PredLactamase; PseAAC-Builder; PseAAC-General; iLoc-Hum; iSNO-AAPair; iSS-PseDNC; iEnhancer-2L
Cited in: 15 Publications

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