@inproceedings{e79e0390dbe1473f94e363bfef967131,
title = "DiCE: Discovery of conserved noncoding sequences efficiently",
abstract = "Identification of the conserved non-coding sequences (CNSs) for plants is a challenging problem because the plants have small CNSs compared to animals. The existing alignment based methods are neither efficient nor sensitive to smaller CNSs when the number of species is large. In this paper, we propose an alignment-free approach that can process any number sequences simultaneously. Our approach uses maximal repeats extracted from generalized suffix tree of the sequences and discovers both exactly matched CNSs as well as CNSs with a given mismatch rate. The experimental results with 17, 996 syntenic genes of six grass species shows that our approach is more efficient than existing approaches.",
keywords = "CNS, DAG, MEM, Suffix tree",
author = "Sairam Behera and Xianjun Li and James Schnable and Deogun, {Jitender S.}",
year = "2017",
month = dec,
day = "15",
doi = "10.1109/BIBM.2017.8217628",
language = "English (US)",
series = "Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "79--82",
editor = "Illhoi Yoo and Zheng, {Jane Huiru} and Yang Gong and Hu, {Xiaohua Tony} and Chi-Ren Shyu and Yana Bromberg and Jean Gao and Dmitry Korkin",
booktitle = "Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017",
note = "2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 ; Conference date: 13-11-2017 Through 16-11-2017",
}