@inproceedings{409a674aad264e9eaab7b453a2f582e3,
title = "Discovering geometric patterns in genomic data",
abstract = "ChIP-chip and ChIP-seq are techniques for the isolation and identification of the binding sites of DNA-associated proteins along the genome. Both techniques produce genome-wide location data. The geometric arrangements of these binding sites can provide valuable information about biological function, such as the activation or repression of genes. In this paper, we formalize this problem and propose a novel graph based algorithm called Patterns of Marks (PoM) to discover efficiently these types of geometric patterns in genomic data. We also describe how we validate the algorithm using experimental data.",
keywords = "DNA binding sites, Geometric pattern, Graph mining",
author = "Wenxuan Gao and Christopher Brown and Grossman, {Robert L.} and Lijia Ma and Matthew Slattery and White, {Kevin P.} and Yu, {Philip S.}",
year = "2012",
doi = "10.1145/2382936.2382955",
language = "English (US)",
isbn = "9781450316705",
series = "2012 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2012",
pages = "147--154",
booktitle = "2012 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2012",
note = "2012 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2012 ; Conference date: 07-10-2012 Through 10-10-2012",
}