A Method to Improve the Performance of Translation Start Site Detection and Its Application for Gene Finding

Authors:
Mihaela Pertea;Steven Salzberg
Affiliations:
-;-
Venue:
WABI '02 Proceedings of the Second International Workshop on Algorithms in Bioinformatics
Year:
2002

Citing 2
Cited 1

The Ribosome Scanning Model for Translation Initiation: Implications for Gene Prediction and Full-Length cDNA Detection

ISMB '98 Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology
Neural Network Prediction of Translation Initiation Sites in Eukaryotes: Perspectives for EST and Genome Analysis

Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology

Translation Initiation Sites Prediction with Mixture Gaussian Models in Human cDNA Sequences

IEEE Transactions on Knowledge and Data Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

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%.