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Báo cáo y học: "Strategy for encoding and comparison of gene expression signatures"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Strategy for encoding and comparison of gene expression signatures. | Open Access Software Strategy for encoding and comparison of gene expression signatures Yajun Yi Chun Li Clay Miller and Alfred L George Jr Addresses Department of Medicine Garland Avenue Vanderbilt University Nashville Tennessee 37232-0275 USA. Department of Biostatistics Garland Avenue Vanderbilt University Nashville Tennessee 37232-0275 USA. Department of Pharmacology Garland Avenue Vanderbilt University Nashville Tennessee 37232-0275 USA. Correspondence Alfred L George. Email al.george@Vanderbilt.Edu Published 5 July 2007 Genome Biology 2007 8 R133 doi 10.1186 gb-2007-8-7-r133 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2007 8 7 R133 Received 11 April 2007 Revised 13 June 2007 Accepted 5 July 2007 2007 Yi et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract EXALT Expression signature Analysis Tool is a computational system enabling comparisons of microarray data across experimental platforms and different laboratories http seq.mc.vanderbilt.edu exalt . An essential feature of EXALT is a database holding thousands of gene expression signatures extracted from the Gene Expression Omnibus and encoded in a searchable format. This novel approach to performing global comparisons of shared microarray data may have enormous value when coupled directly with a shared data repository. Rationale The application of high-throughput microarray technology for determining global changes in gene expression is an important and revolutionary experimental paradigm that facilitates advances in functional genomics and systems biology. Widespread use of this approach is evident in the rapid growth of microarray datasets stored in public repositories 1 2 . For example .