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