tailieunhanh - Báo cáo y học: "Estrogen Receptor Biology Program, Genome Institute of Singapore"

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: Estrogen Receptor Biology Program, Genome Institute of Singapore. | Research Open Access Multiplatform genome-wide identification and modeling of functional human estrogen receptor binding sites Vinsensius B VegaH Chin-Yo LinH Koon Siew Lai Say Li Kong Min Xie Xiaodi Su Huey Fang Teh Jane S Thomsen Ai Li Yeo Wing Kin Sung Guillaume Bourque and Edison T Liu Addresses Estrogen Receptor Biology Program Genome Institute of Singapore 60 Biopolis Street Republic of Singapore 138672. information and Mathematical Sciences Group Genome Institute of Singapore 60 Biopolis Street Republic of Singapore 138672. Microarray and Expression Genomics Laboratory Genome Institute of Singapore 60 Biopolis Street Republic of Singapore 138672. Department of Microbiology and Molecular Biology Brigham Young University 753 WIDB Provo UT 84602 USA. Institute of Materials Research and Engineering 3 Research Link Republic of Singapore 117602. H These authors contributed equally to this work. Correspondence EdisonT Liu. Email liue@ Vinsensius B Vega. E-mail vegav@ Published 9 September 2006 Genome Biology 2006 7 R82 doi 186 gb-2006-7-9-r82 The electronic version of this article is the complete one and can be found online at http 2006 7 9 R82 Received 27 February 2006 Revised 11 May 2006 Accepted 9 September 2006 2006 Vega 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 Background Transcription factor binding sites TFBS impart specificity to cellular transcriptional responses and have largely been defined by consensus motifs derived from a handful of validated sites. The low specificity of the computational predictions of TFBSs has been attributed to ubiquity of the motifs and the relaxed sequence requirements for binding. We posited that the .