Quantifying similarity between motifs1Department of Genome Sciences, University of Washington, 1705 NE Pacific Street, Box 355065, Seattle, WA 98195, USA 2Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia 3Department of Computer Science and Engineering, University of Washington, 185 Stevens Way, Box 352350, Seattle, WA 98105, USA
Genome Biology 2007, 8:R24doi:10.1186/gb-2007-8-2-r24
Subject areas: Bioinformatics, Genetics, Genome studies Additional filesAdditional data file 1: Accuracy of motif comparison P values: QQ plots for various column comparison functions Format: PDF Size: 1MB Download file This file can be viewed with: Adobe Acrobat Reader Additional data file 2: Accuracy of offset P values: QQ plots for various column comparison functions Format: PDF Size: 1MB Download file This file can be viewed with: Adobe Acrobat Reader Additional data file 3: Mean ROC scores for various motif column comparison functions and score combination methods for various sampling rates Format: PDF Size: 1MB Download file This file can be viewed with: Adobe Acrobat Reader Additional data file 4: Comparison of motif P values versus other methods of combining column scores for various sampling rates Format: PDF Size: 1MB Download file This file can be viewed with: Adobe Acrobat Reader Additional data file 5: Motif retrieval accuracy for various column similarity functions at a sampling rate of S/8 Format: PDF Size: 1MB Download file This file can be viewed with: Adobe Acrobat Reader Additional data file 6: E value based retrieval rate for two additional significance levels (E-value less than 0.05 or 0.001) Format: PDF Size: 1MB Download file This file can be viewed with: Adobe Acrobat Reader |


on Google Scholar







author email
corresponding author email