A new algorithm for quantifying binding site pattern similarity with applications for Next Generation Sequencing

Paul W Bible1, Rasiah Loganantharaj

  • 1University of Louisiana, Lafayette, LA 70503, USA. pwb4552@louisana.edu

Summary

We developed PfmSim, a new algorithm for comparing transcription factor binding patterns represented as Position Frequency Matrices (PFMs). PfmSim improves the accuracy of similarity detection and classification of regulatory sequences.

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