title: The SiteSeeker motif discovery tool.
abstract: In this paper we describe some utilizing conditions of a recently published tool that offers two basic functions for the classical problem of discovering motifs in a set of promoter sequences. For the first it is assumed that not necessarily all of the sequences possess a common motif of given length l. In this case, CHECKPROMOTER allows an exact identification of maximal subsets of related promoters. The purpose of this program is to recognize putatively co-regulated genes. The second, CHECKMOTIF, solves the problem of checking if the given promoters have a common motif. It uses a fast approximation algorithm for which we were able to derive non-trivial low performance bounds (defined as the ratio of Hamming distance of the obtained solution to that of a theoretically best solution) for the computed outputs. Both programs use a novel weighted Hamming distance paradigm for evaluating the similarity of sets of l-mers, and we are able to compute performance bounds for the proposed motifs. A set of At promoters were used as a benchmark for a comparative test against five known tools. It could be verified that SiteSeeker significantly outperformed these tools.
authors.affiliation: Russ College of Engineering and Technology, Ohio University Athens, Ohio, USA. ecker@ohio.edu
authors.forename: Klaus
authors.initials: K
authors.lastname: Ecker
authors.forename: Jens
authors.initials: J
authors.lastname: Lichtenberg
authors.forename: Lonnie
authors.initials: L
authors.lastname: Welch
mesh_terms: D000465:Algorithms; D017360:Arabidopsis / Q000235:genetics*; D019295:Computational Biology; D018506:Gene Expression Regulation, Plant; D011401:Promoter Regions, Genetic / Q000235:genetics*; D012045:Regulatory Sequences, Nucleic Acid