Pertea, M., Salzberg, S. L.
A Method to Improve the Performance of Translation Start Site Detection and Its Application for Gene Finding
Algorithms in Bioinformatics, Proceedings. 2002 Sep 01; 2452: 210-219.
Correct signal identification is an important step for all ab initio gene finders. The aim of this work is to introduce a new method for detecting translation start sites in genomic DNA sequences. By using interpolated context Markov model to capture the coding potential of the region immediately following a putative start codon, the novel method described achieves an 84% accuracy of the start codon recognition. The implementation of this technique into GlimmerM succeeds in improving the sensitivity of the gene prediction by 5%.