The EPatternBranching algorithm is an extended version of the well-known PatternBranching algorithm which was developed by Price et al. It is a heuristic algorithm such as Projection and uses a pattern-based approach. The algorithm searches in the space of possible motifs. The basic concept of EPatternBranching remains the same as in the original PatternBranching algorithm Starting from each l-mer x in the input sequences the algorithm iteratively searches around the vicinities of x and finds the best neighbors by applying a specific function called bestNeighbors. At the end of each step, it selects those patterns from the set of best neighbors that fulfill a particular condition and that are therefore qualified for being a motif instance.