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: Prioritizing functional modules mediating genetic perturbations and their phenotypic effects: a global strategy. | Open Access Prioritizing functional modules mediating genetic perturbations and their phenotypic effects a global strategy Li Wang Fengzhu Sun and Ting Chen Addresses Molecular and Computational Biology Department of Biology Sciences University of Southern California 1050 Childs Way Los Angeles CA 90089-2910 USA. MGE Key Laboratory of Bioinformatics and Bioinformatics Division TNLIST Department of Automation Tsinghua University Beijing 100084 PR China. Correspondence Ting Chen. Email tingchen@ Published 16 December 2008 Genome Biology 2008 9 R174 doi gb-2008-9- 12-r 174 The electronic version of this article is the complete one and can be found online at http 2008 9 12 R174 Received 5 August 2008 Revised 11 November 2008 Accepted l6 December 2008 2008 Wang 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 We have developed a global strategy based on the Bayesian network framework to prioritize the functional modules mediating genetic perturbations and their phenotypic effects among a set of overlapping candidate modules. We take lethality in Saccharomyces cerevisiae and human cancer as two examples to show the effectiveness of this approach. We discovered that lethality is more conserved at the module level than at the gene level and we identified several potentially new cancer-related biological processes. Background How to interpret the nature of biological processes which when perturbed cause certain phenotypes such as human disease is a major challenge. The completion of sequencing of many model organisms has made reverse genetic approaches 1 efficient and comprehensive ways to identify causal genes for a given phenotype under investigation. For instance genome-wide .
