Detecting Motifs in a Large Data Set: Applying Probabilistic Insights to Motif Finding

Christina Boucher, Daniel G. Brown. Detecting Motifs in a Large Data Set: Applying Probabilistic Insights to Motif Finding. In Sanguthevar Rajasekaran, editor, Bioinformatics and Computational Biology, First International Conference, BICoB 2009, New Orleans, LA, USA, April 8-10, 2009. Proceedings. Volume 5462 of Lecture Notes in Computer Science, pages 139-150, Springer, 2009. [doi]

Abstract

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