DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dae-Won Kim | - |
dc.contributor.author | T S Jung | - |
dc.contributor.author | Y S Choi | - |
dc.contributor.author | Seong Hyeuk Nam | - |
dc.contributor.author | H R Kwon | - |
dc.contributor.author | D W Kim | - |
dc.contributor.author | H S Choi | - |
dc.contributor.author | Sang-Haeng Choi | - |
dc.contributor.author | Hong-Seog Park | - |
dc.date.accessioned | 2017-04-19T09:13:38Z | - |
dc.date.available | 2017-04-19T09:13:38Z | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | I000-0158 | - |
dc.identifier.uri | 10.5808/GI.2009.7.1.038 | ko |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/8910 | - |
dc.description.abstract | The EST Knowledge Integrated System, EKIS (http://ekis.kribb.re.kr), was established as a part of Korea's Ministry of Education, Science and Technology initiative for genome sequencing and application research of the biological model organisms (GEAR) project. The goals of the EKIS are to collect EST information from GEAR projects and make an integrated database to provide transcriptomic and metabolomic information for biological scientists. The EKIS constitutes five independent categories and several retrieval systems in each category for incorporating massive EST data from high-throughput sequencing of 65 different species. Through the EKIS database, scientists can freely access information including BLAST functional annotation as well as Genechip and pathway information for KEGG. By integrating complex data into a framework of existing EST knowledge information, the EKIS provides new insights into specialized metabolic pathway information for an applied industrial material. | - |
dc.publisher | Korea Soc-Assoc-Inst | - |
dc.title | EST knowledge integrated systems (EKIS): an integrated database of EST information for research application = EST 통합 지식 정보 시스템: 유전체 연구를 위한 통합 시스템 | - |
dc.title.alternative | EST knowledge integrated systems (EKIS): an integrated database of EST information for research application | - |
dc.type | Article | - |
dc.citation.title | Genomics & Informatics | - |
dc.citation.number | 1 | - |
dc.citation.endPage | 40 | - |
dc.citation.startPage | 38 | - |
dc.citation.volume | 7 | - |
dc.contributor.affiliatedAuthor | Dae-Won Kim | - |
dc.contributor.affiliatedAuthor | Seong Hyeuk Nam | - |
dc.contributor.affiliatedAuthor | Sang-Haeng Choi | - |
dc.contributor.affiliatedAuthor | Hong-Seog Park | - |
dc.contributor.alternativeName | 김대원 | - |
dc.contributor.alternativeName | 정태성 | - |
dc.contributor.alternativeName | 최영상 | - |
dc.contributor.alternativeName | 남성혁 | - |
dc.contributor.alternativeName | 권혁렬 | - |
dc.contributor.alternativeName | 김동욱 | - |
dc.contributor.alternativeName | 최한석 | - |
dc.contributor.alternativeName | 최상행 | - |
dc.contributor.alternativeName | 박홍석 | - |
dc.identifier.bibliographicCitation | Genomics & Informatics, vol. 7, no. 1, pp. 38-40 | - |
dc.identifier.doi | 10.5808/GI.2009.7.1.038 | - |
dc.subject.keyword | biological systems | - |
dc.subject.keyword | data mining | - |
dc.subject.keyword | expressed sequence tag | - |
dc.subject.keyword | functional annotation | - |
dc.subject.keyword | metabolic pathways | - |
dc.subject.local | biological systems | - |
dc.subject.local | data mining | - |
dc.subject.local | Expressed sequence tags (ESTs) | - |
dc.subject.local | expressed sequence tag | - |
dc.subject.local | Expressed sequence tag | - |
dc.subject.local | expressed sequence tags | - |
dc.subject.local | expressed sequence tag (EST) | - |
dc.subject.local | Expressed sequence tags | - |
dc.subject.local | Functional annotation | - |
dc.subject.local | functional annotation | - |
dc.subject.local | metabolic pathways | - |
dc.description.journalClass | N | - |
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