tailieunhanh - Báo cáo y học: " MotifAdjuster: a tool for computational reassessment of transcription factor binding site annotations"

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: MotifAdjuster: a tool for computational reassessment of transcription factor binding site annotations | Software Open Access MotifAdjuster a tool for computational reassessment of transcription factor binding site annotations Jens Keilwagen Jan Baumbach Thomas A Kohl and Ivo Grosse Addresses Leibniz Institute of Plant Genetics and Crop Plant Research Gatersleben IPK CorrensstraBe 3 06466 Gatersleben Germany. International Computer Science Institute 1947 Center Street Berkeley California 94704 USA. international NRW Graduate School in Bioinformatics and Genome Research Center for Biotechnology CeBiTec Bielefeld University UniversitatsstraBe 27 33615 Bielefeld Germany. institute for Genome Research and Systems Biology IGS Center for Biotechnology CeBiTec Bielefeld University UniversitatsstraBe 27 33615 Bielefeld Germany. Institute of Computer Science Martin Luther University Halle-Wittenberg Von-Seckendorff-Platz 1 06120 Halle Germany. Correspondence Jens Keilwagen. Email Published I May 2009 Genome Biology 2009 10 R46 doi gb-2009- I0-5-r46 The electronic version of this article is the complete one and can be found online at http 2009 I0 5 R46 Received I9 February 2009 Revised I7 April 2009 Accepted I May 2009 2009 Keilwagen 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 Valuable binding-site annotation data are stored in databases. However several types of errors can and do occur in the process of manually incorporating annotation data from the scientific literature into these databases. Here we introduce MotifAdjuster http a tool that helps to detect these errors and we demonstrate its efficacy on public data sets. Rationale The regulation of gene expression involves a complex system of interacting components