The data here is as used for the paper Timothy L. Bailey, Mikael Boden, Tom Whitington, and Philip Machanick, "The value of position-specific priors in motif discovery using MEME", BMC Bioinformatics, 11(1):179, 2010 http://www.biomedcentral.com/1471-2105/11/179 with two differences: 1. MEME PSP format has evolved since the paper was written and the data format here corresponds to the PSP format in published versions of the MEME code 2. In the paper, we take 50 random samples each of 100 sequences from the sequence data and corresponding PSPs whereas the data here is for the entire data set for each transcription factor (TF). The revised MEME data format removes redundancy and does not alter computational results. Directory structure is as follows: Sequences/ the sequence data priorDC/ Hartemink-format PSPs priorDCMEME/ MEME-format PSPs We obtain priors for MEME from priors generated with the Hartemink DC prior scripts by using the utility hartemink2psp, which is distributed with MEME. We generate MEME-format priors as follows, where TF.prior and TF.psp is replaced by the actual file name: hartemink2psp -revcomp -width 8 < priorDC/TF.prior > priorDCMEME/TF.psp