tailieunhanh - Báo cáo y học: " SpeCond: a method to detect condition-specific gene expressio"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: SpeCond: a method to detect condition-specific gene expression. | Genome Biology w Genome Biology This Provisional PDF corresponds to the article as it appeared upon acceptance. Copyedited and fully formatted PDF and full text HTML versions will be made available soon. SpeCond a method to detect condition-specific gene expression Genome Biology 2011 12 R101 doi gb-2011-12-10-r101 Florence MG Cavalli florence@ Richard Bourgon bourgon@ Wolfgang Huber Juan M Vaquerizas jvaquerizas@ Nicholas M Luscombe luscombe@ ISSN 1465-6906 Article type Method Submission date 21 April 2011 Acceptance date 18 October 2011 Publication date 18 October 2011 Article URL http 2011 12 10 R101 This peer-reviewed article was published immediately upon acceptance. It can be downloaded printed and distributed freely for any purposes see copyright notice below . Articles in Genome Biology are listed in PubMed and archived at PubMed Central. For information about publishing your research in Genome Biology go to http authors instructions 2011 Cavalli etal. 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. SpeCond a method to detect condition-specific gene expression Florence MG Cavalli1 Richard Bourgon1 3 Wolfgang Huber2 Juan M Vaquerizas1 and Nicholas M Luscombe1 2 1EMBL-European Bioinformatics Institute Wellcome Trust Genome Campus Cambridge cB10 1SD UK. 2EMBL-Heidelberg Genome Biology Unit MeyerhofstraBe 1 69117 Heidelberg Germany. 3current address Department of Bioinformatics Genentech Inc. 1 DNA Way South San Francisco California 94080 USA. Correspondence florence @ - 1 - Abstract Transcriptomic studies routinely measure expression levels across numerous conditions. These datasets allow identification of .