Abstract
Address: 1Institute for Digital Biology, Mississippi State University, Mississippi State, MS 39762, USA, 2Department of Computer Science and Engineering, Mississippi State University, Mississippi State, MS 39762, USA, 3Mississippi Genome Exploration Laboratory, Mississippi State University, Mississippi State, MS 39762, USA and 4Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS 39762, USA
Highlights
DNA in eukaryotic genomes is characterized, and often dominated, by repetitive, non-genic DNA sequences
Highlights from the Fourth International Society for Computational Biology (ISCB) Student Council Symposium Lucia Peixoto, Nils Gehlenborg and Sarath Chandra Janga Meeting abstracts – A single PDF containing all abstracts in this Supplement is available here. http://www.biomedcentral.com/content/pdf/1471-2105-9-S10-info.pdf
We present an algorithm for mining the coordinates of different families of ab initio identified repetitive regions on chromosomal length DNA sequences to yield proximity relationships between repeat families [8]
Summary
Discovering relationships among dispersed repeats using spatial association rule mining. Highlights from the Fourth International Society for Computational Biology (ISCB) Student Council Symposium Lucia Peixoto, Nils Gehlenborg and Sarath Chandra Janga Meeting abstracts – A single PDF containing all abstracts in this Supplement is available here. http://www.biomedcentral.com/content/pdf/1471-2105-9-S10-info.pdf
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