Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ
Tải xuống
Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: From genomes to systems. | Meeting report From genomes to systems David I Ellis Steve O Hagan Warwick B Dunn Marie Brown and Seetharaman Vaidyanathan Address School of Chemistry University of Manchester Sackville Street Manchester M60 1QD UK. Correspondence David I Ellis. E-mail D.Ellis@umist.ac.uk Published 28 October 2004 Genome Biology 2004 5 354 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2004 5 11 354 2004 BioMed Central Ltd A report on the 2nd Conference of the Consortium for Post-Genome Science CPGS Genomes to Systems Manchester UK 1-3 September 2004. The second conference of the Consortium for Post-Genome Science aimed to portray the breadth of studies in this field including genomics transcriptomics proteomics and metabolomics. The emphasis was on the transition from understanding at the level of each -omics to a more integrated approach - that of systems biology. Systems biology aspires to be more comprehensive than previous approaches and to build predictive models that require powerful computation and the inclusion of meta data information that describes the attributes of the data such as experimental conditions . Six hundred delegates heard talks on diverse topics ranging from structural genomics through protein dynamics to pharmacogenetics and healthcare. The plenary talk on networks by Albert-László Barabási University of Notre Dame Indiana USA was both thoughtprovoking and stimulating dealing with fundamental principles and network function in both biological and non-biological systems. The building blocks of networks consist of nodes and connections or links and while certain networks can be modeled effectively by connecting their nodes with randomly placed links according to the so-called random network theory others do not fit this model. The highway system in the US could be considered a random network for example in which nodes correspond to cities and links to the connecting roads. In this network each .