tailieunhanh - báo cáo khoa học: " Detection and validation of single feature polymorphisms using RNA expression data from a rice genome array"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Detection and validation of single feature polymorphisms using RNA expression data from a rice genome array | BMC Plant Biology BioMed Central Open Access Research article Detection and validation of single feature polymorphisms using RNA expression data from a rice genome array Sung-Hyun Kim1 Prasanna R Bhat1 Xinping Cui2 Harkamal Walia1 Jin Xu2 Steve Wanamaker1 Abdelbagi M Ismail3 Clyde Wilson4 and Timothy J Close 1 Address Department of Botany and Plant Sciences University of California Riverside CA 92521 USA 2Department of Statistics University of California Riverside CA 92521 USA international Rice Research Institute Manila Philippines and 4United States Department of Agriculture Agricultural Research Service George E Brown Jr Salinity Laboratory Riverside CA 92507 USA Email Sung-Hyun Kim - kshpaulo@ Prasanna R Bhat - prasannarb@ Xinping Cui - Harkamal Walia - hwalia@ Jin Xu - jxu@ Steve Wanamaker - Abdelbagi M Ismail - Clyde Wilson - cwilson@ Timothy J Close - Corresponding author Published 29 May 2009 Received 23 October 2008 BMC Plant Biology 2009 9 65 doi 1471-2229-9-65 Accepted 29 May 2009 This article is available from http 1471-2229 9 65 2009 Kim 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 A large number of genetic variations have been identified in rice. Such variations must in many cases control phenotypic differences in abiotic stress tolerance and other traits. A single feature polymorphism SFP is an oligonucleotide array-based polymorphism which can be used for identification of SNPs or insertion deletions INDELs for high throughput genotyping and high density mapping. Here we applied SFP markers to