SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA sequences1 Research Technology Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, 9000 Rockville Pike, Blg50/R5505, Bethesda, MD 20892, USA 2 Biostatistics Research Branch, Office of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, 6700B Rockledge Dr. MSC 7609, Bethesda, MD 20892-7609, USA
BMC Bioinformatics 2007, 8:354doi:10.1186/1471-2105-8-354
Additional filesAdditional file 1: The data sets. This file contains the input sequences and known sites for each TF used in our experiments. Format: TXT Size: 29KB Download file Additional file 2: Searchpattool's results for test1. This file contains the best patterns as predicted by Searchpattool for each of the fourteen TF examined in test1. Format: XLS Size: 146KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 3: Searchpattool's results for test2. This file contains the best patterns as predicted by Searchpattool for each of the fourteen TF examined in test2. Format: XLS Size: 3.6MB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 4: Runtime and number of patterns statistics. This file contains detailed results for the study of runtime and number of patterns found by Searchpattool on random data sets. Format: XLS Size: 34KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 5: Searchpattool's software. This archive file contains the application, the source code; a runable example and an explanation of the use of the programs (file readme-searchpattool-doc.pdf) Format: ZIP Size: 2.8MB Download file |




on Google Scholar







author email
corresponding author email