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: Mining the genome and regulatory networks. | Meeting report Mining the genome and regulatory networks Anatolij P Potapov and Edgar Wingender Addresses Department of Bioinformatics University of Gottingen Goldschmidtstrasse 1 D-37077 Gottingen Germany. tBIOBASE GmbH Halchterschestrasse 33 D-38304 Wolfenbuttel Germany. Correspondence Anatolij P Potapov. Email Published 22 March 2006 Genome Biology 2006 7 309 doi gb-2006-7-3-309 The electronic version of this article is the complete one and can be found online at http 2006 7 3 309 2006 BioMed Central Ltd A report on the 16th International Conference on Genome Informatics GIW 2005 Yokohama Japan 19-21 December 2005. The conference on genome informatics held in Yokohama at the end of last year provided an international forum for disseminating the latest developments and applications in advanced computational methods that can be used for solving several biological problems. In bioinformatics and systems biology the topics covered included the prediction of regulatory networks microarray data analysis and graph mining for structural biological data. Modules and networks Biological processes in microbial cells are known to be carried out through interactions between multiple functional modules that serve as the basic building blocks of complex biological networks. At the gene level for example a module is defined as a set of genes that can be grouped according to their biological function in a pathway or process and in many cases modular structure and module components are highly conserved. Ying Xu University of Georgia Atlanta USA presented a computational method for predicting modules in microbial genomes that is based on the fact that neighboring genes in prokaryotic genomes are likely to be functionally related as a result of the operon organization. Using 224 microbial genomes from 175 different species Xu and colleagues quantified the functional relatedness among genes on the basis of their
