In addition to interfacing with popular MEME Suite tools, memes leverages existing R/Bioconductor data structures to store the multidimensional data returned by MEME Suite tools for rapid data access and manipulation. memes provides a novel “data aware” interface to these tools, enabling rapid and complex discriminative motif analysis workflows. Here we present memes, an R package that provides a seamless R interface to a selection of popular MEME Suite tools. The MEME Suite is a widely used toolkit for comprehensive analysis of biopolymer motifs however, these tools are poorly integrated within popular analysis frameworks like the R/Bioconductor project, creating barriers to their use. Identification of biopolymer motifs represents a key step in the analysis of biological sequences.
