ProbCD: Probabilistic Categorical Data analysis ProbCD is a R package for Probabilistic Categorical Data analysis. ProbCD calculates the statistical association (correlation is one type of association measurement) between the properties encoded in the rows and columns of a k x 2 contingency table in which there is uncertainty in placing each element in any of the 2k possible table cells. On-line job submission Column's information [example: E. coli probabilistic GO annotation file from Enault et al]: Row's information [example: essential vs not essential E. coli file from Gustafson et al]: List of terms to be analyzed [example: GO terms file]: Number simulation round for significance analysis (more takes longer!) [hint]: 0 50 100 500 Minimum association for significance calculation (0.0 calculated for all and 1.0 for none) [hint] Source-code The R source-code is provided under the LGPL license: ProbCD version 0.6.1. Manuscript This work is published and freely available at: BMC Bioinformatics 2007, 8:383. Questions and comments: rvencio