Marleen Claeys, Valerie Storms, Hong Sun, Tom Michoel and Kathleen MarchalMarleen Claeys (mclaeys@qatar.net.qa)Kathleen Marchal (kathleen.marchal@biw.kuleuven.be)http://bioinformatics.psb.ugent.be/webtools/MotifSuite/usemotiflocator.phpM. Claeys; V. Storms; H. Sun; T. Michoel; K. Marchal. (2012) "MotifSuite: workflow for probabilistic motif detection and assessment", <i>Bioinformatics</i>, <b>28</b>(14):1931-1932Thijs G., Marchal K., Lescot M., Rombauts S., De Moor B., Rouze P., Moreau Y. (2002) "A Gibbs Sampling method to detect over-represented motifs in upstream regions of coexpressed genes", <i>Journal of Computational Biology (special issue Recomb'2001)</i>, <b>9</b>(2):447-464Thijs G., Moreau Y., De Smet F., Mathys J., Lescot M., Rombauts S., Rouze P., De Moor B., and Marchal K. (2002) "INCLUSive: INtegrated Clustering, Upstream sequence retrieval and motif Sampling", <i>Bioinformatics</i>, <b>18</b>(2):331-2MotifLocator calculates for each possible instance in a DNA sequence dataset how well it fits a given motif model (PWM) versus the genome-specific background model. A threshold cutoff on the background corrected PWM based score computed for each instance determines whether an instance in the sequence dataset is a motif or not.Relative010.85Sets threshold above which a motif is selected (default 0.85)Search single strand or both strands<html>Type of motif instance score reported.<br>'Normalized' reports the rescaled instance score that was evaluated against the threshold (default).<br>'Absolute' will report the absolute instance score that represents the likelihood<br>of the instance to belong to the motif instead of to the background</html>Relative1Relative{SEQUENCENAME}\t{FEATURE}\tmisc_feature\t{START}\t{END}\t{SCORE}\t{STRAND}\t.\tid "{TYPE}"; site "{SITE}";