@inproceedings{GeometricSNP,
  abstract = "A common type of DNA variation is called a Single Nucleotide Polymorphism (SNP), where a single position within a DNA sequence is altered from one nucleotide base to another. The problem of identifying disease-associated SNPs has been the subject of extensive research by statisticians. However, less research has been done within the computing community. In this paper, we propose a novel geometrical computing model for the SNP Motif Identification Problem. The purpose of our research is to explore the properties of SNPs in a combinatorial way. We test our algorithm on two real clinical datasets, and give computational results which demonstrate the efficiency and effectiveness of our approach.",
  author = "Gaofeng Huang and Peter Jeavons",
  booktitle = "Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2007",
  doi = "10.1109/BIBE.2007.4375593",
  isbn = "978-1-4244-1509-0 ",
  pages = "395-402",
  title = "A Geometrical Model for the SNP Motif Identification Problem",
  url = "http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4375593",
  year = "2007",
}