tailieunhanh - báo cáo khoa học: " Arabidopsis Gene Family Profiler (aGFP) – user-oriented transcriptomic database with easy-to-use graphic interface"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Arabidopsis Gene Family Profiler (aGFP) – user-oriented transcriptomic database with easy-to-use graphic interface | BioMed Central BMC Plant Biology Open Access Arabidopsis Gene Family Profiler aGFP - user-oriented transcriptomic database with easy-to-use graphic interface Nikoleta Dupl akova1 2 David Renák1 2 3 Patrik Hovanec4 Barbora Honysová5 David Twell6 and David Honys 1 2 Address 1 Laboratory of Pollen Biology Institute of Experimental Botany ASCR . Rozvojova 263 165 00 Prague 6 Czech Republic 2Department of Plant Physiology Faculty of Science Charles University in Prague Vinicná 5 128 44 Prague 2 Czech Republic 3Department of Plant Physiology and Anatomy Faculty of Biological Sciences University of South Bohemia Branisovská 31 370 05 Keské BudEjovice Czech Republic 4Krymská 8 122 101 00 Praha 10 Czech Republic laboratory of Cell Biology Institute of Experimental Botany ASCR . Rozvojova 263 165 00 Prague 6 Czech Republic and 6Department of Biology University of Leicester Leicester LE1 7RH UK Email Nikoleta Dupl áková - duplakova@ David Renák - renak@ Patrik Hovanec - patrikhov@ Barbora Honysová - honysova@ David Twell - twe@ David Honys - honys@ Corresponding author Published 23 July 2007 Received 2 February 2007 BMC Plant Biology 2007 7 39 doi 1471-2229-7-39 Accepted 23 July 2007 This article is available from http 1471-2229 7 39 2007 Dupl áková 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 Microarray technologies now belong to the standard functional genomics toolbox and have undergone massive development leading to increased genome coverage accuracy and reliability. The number of experiments exploiting microarray technology has markedly increased in recent years. In parallel with the rapid .