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유희주(Hee-Ju Yu),박신기(Sin-Gi Park),오미진(Mijin Oh),황현주(Hyun-Ju Hwang),김남신(Namshin Kim),정희(Hee Chung),손성한(Seong-Han Sohn),박범석(Beom-Seok Park),문정환(Jeong-Hwan Mun) 한국원예학회 2011 원예과학기술지 Vol.29 No.6
Brassica rapa is an A genome model species for Brassica crop genetics, genomics, and breeding. With the completion of sequencing the B. rapa genome, functional analysis of the genome is forthcoming issue. The expressed sequence tags are fundamental resources supporting annotation and functional analysis of the genome including identification of tissue-specific genes and promoters. As of July 2011, 147,217 ESTs from 39 cDNA libraries of B. rapa are reported in the public database. However, little information can be retrieved from the sequences due to lack of organized databases. To leverage the sequence information and to maximize the use of publicly-available EST collections, the Brassica rapa tissue-specific EST database (BrTED) is developed. BrTED includes sequence information of 23,962 unigenes assembled by StackPack program. The unigene set is used as a query unit for various analyses such as BLAST against TAIR gene model, functional annotation using MIPS and UniProt, gene ontology analysis, and predict ion of tissue-specific unigene sets based on statistics test. The database is composed of two main units, EST sequence processing and information retrieving unit and tissue-specific expression profile analysis unit. Information and data in both units are tightly inter-connected to each other using a web based browsing system. RT-PCR evaluation of 29 selected unigene sets successfully amplified amplicons from the target tissues of B. rapa. BrTED provided here allows the user to identify and analyze the expression of genes of interest and aid efforts to interpret the B. rapa genome through functional genomics. In addition, it can be used as a public resource in providing reference information to study the genus Brassica and other closely related crop crucifer plants.
이재광(Jae Kang Lee),강지호(Jiho Kang),김한별(Hanbyul Kim),안이슬(Eseul Ahn),오미진(Mijin Oh),조현(Hyeon Jo) 한국인터넷전자상거래학회 2016 인터넷전자상거래연구 Vol.16 No.1
In this paper, we figure out the factors influencing on intention to adopt of wearable devices. We attempt to study influencing factors based on TAM(Technology Acceptance Model) and former researches related to smart devices and information systems. For empirical analysis, we analyzed real users of wearable devices and verified research model and hypotheses through PLS method. There are some findings. First, mobility and self-efficacy are positively significant on perceived usefulness. Second, mobility, self-efficacy and personal innovation are significantly related to perceived ease of use. Third, perceived usefulness and perceived ease of use have positive influence on intention to adopt significantly. The result of this paper can be useful guidelines for wearable device industry and providers.