@inproceedings{1fcabd873e6f4b9e93ddb66483b3268e,
title = "A method to improve the performance of translation start site detection and its application for gene finding",
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%.",
author = "Mihaela Pertea and Salzberg, {Steven L.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2002. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2nd International Workshop on Algorithms in Bioinformatics, WABI 2002 ; Conference date: 17-09-2002 Through 21-09-2002",
year = "2002",
doi = "10.1007/3-540-45784-4_16",
language = "English (US)",
isbn = "3540442111",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "210--219",
editor = "Roderic Guigo and Dan Gusfield",
booktitle = "Algorithms in Bioinformatics - 2nd International Workshop,WABI 2002, Proceedings",
}