Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: A novel approach to identifying regulatory motifs in distantly related genomes. | Method Open Access A novel approach to identifying regulatory motifs in distantly related genomes Ruth Van Hellemont Pieter Monsieurs Gert Thijs Bart De Moor Yves Van de Peer and Kathleen Marchal Addresses ESAT-SCD KU Leuven Kasteelpark Arenberg 10 3001 Leuven-Heverlee Belgium. ỶPlant Systems Biology Bioinformatics and Evolutionary Genomics VIB Ghent University Technologiepark 927 9052 Gent Belgium. Department of Microbial and Molecular Systems KU Leuven Kasteelpark Arenberg 20 3001 Leuven-Heverlee Belgium. Correspondence Kathleen Marchal. E-mail Published 30 December 2005 Genome Biology 2005 6 R1 13 doi gb-2005-6-13-r113 The electronic version of this article is the complete one and can be found online at http 2005 6 13 R1 13 Received 31 May 2005 Revised 22 August 2005 Accepted 1 December 2005 2005 Van Hellemont et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Although proven successful in the identification of regulatory motifs phylogenetic footprinting methods still show some shortcomings. To assess these difficulties most apparent when applying phylogenetic footprinting to distantly related organisms we developed a two-step procedure that combines the advantages of sequence alignment and motif detection approaches. The results on well-studied benchmark datasets indicate that the presented method outperforms other methods when the sequences become either too long or too heterogeneous in size. Background Phylogenetic footprinting is a comparative method that uses cross-species sequence conservation to identify new regulatory motifs 1 . Based on the observation that functional regulatory motifs evolve more slowly than non-functional sequences the .
