Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: BRAD, the genetics and genomics database for Brassica plants | Cheng et al. BMC Plant Biology 2011 11 136 http 1471 -2229 11 136 BMC Plant Biology DATABASE Open Access BRAD the genetics and genomics database for Brassica plants 1 2 11 11 12 1 Feng Cheng Shengyi Liu Jian Wu Lu Fang Silong Sun Bo Liu Pingxia Li Wei Hua and Xiaowu Wang Abstract Background Brassica species include both vegetable and oilseed crops which are very important to the daily life of common human beings. Meanwhile the Brassica species represent an excellent system for studying numerous aspects of plant biology specifically for the analysis of genome evolution following polyploidy so it is also very important for scientific research. Now the genome of Brassica rapa has already been assembled it is the time to do deep mining of the genome data. Description BRAD the Brassica database is a web-based resource focusing on genome scale genetic and genomic data for important Brassica crops. BRAD was built based on the first whole genome sequence and on further data analysis of the Brassica A genome species Brassica rapa Chiifu-401-42 . It provides datasets such as the complete genome sequence of B. rapa which was de novo assembled from Illumina GA II short reads and from BAC clone sequences predicted genes and associated annotations non coding RNAs transposable elements TE B. rapa genes orthologous to those in A. thaliana as well as genetic markers and linkage maps. BRAD offers useful searching and data mining tools including search across annotation datasets search for syntenic or non-syntenic orthologs and to search the flanking regions of a certain target as well as the tools of BLAST and Gbrowse. BRAD allows users to enter almost any kind of information such as a B. rapa or A. thaliana gene ID physical position or genetic marker. Conclusion BRAD a new database which focuses on the genetics and genomics of the Brassica plants has been developed it aims at helping scientists and breeders to fully and efficiently use the information of .
