The intelligent data management system for toxicogenomics

被引:3
|
作者
Lee, WS
Lee, GJ
Lee, GJ
Yeo, CD
Kang, JS
Kim, YH
Kim, SJ
Kim, JS
Hwang, SY
Park, JS
Hwang, JW
Kang, KS
Lee, YS
Jeon, KS
Um, CH
Hong, S
Kim, YS
机构
[1] ISTECH Inc, Bioinformat Unit, Goyang 411380, Gyonggi Do, South Korea
[2] Suwon Univ, Res Inst, Shin Won Sci Co Ltd, Kowoon Inst Technol Innovat 702, Bondam 445743, Gyeonggi Do, South Korea
[3] Hanyang Univ, Dept Biochem & Mol Biol, Ansan 425791, Gyeongi Do, South Korea
[4] Genocheck Co Ltd, Ansan 425791, Gyeongi Do, South Korea
[5] Seoul Natl Univ, Dept Vet Publ Hlth, Coll Vet Med, Seoul 151742, South Korea
[6] Korea Inst Radiol & Med Sci, Dept Lab Med, Seoul 139709, South Korea
[7] Yonsei Univ, Coll Med, Canc Metastasis Ctr, Seoul 120752, South Korea
来源
JOURNAL OF VETERINARY MEDICAL SCIENCE | 2004年 / 66卷 / 11期
关键词
cDNA microarray; data management; toxicogenomics;
D O I
10.1292/jvms.66.1335
中图分类号
S85 [动物医学(兽医学)];
学科分类号
0906 ;
摘要
Toxicogenomics is now emerging as one of the most important genomic application because the toxicity test based on gene expression profiles is expected to be more precise and efficient than current histopathological approaches in a pre-clinical phase. One of the challenging issues in toxicogenomics is the construction of intelligent database management system which can deal with heterogeneous and complex data from many different experimental and information sources. TEST(Toxicogenomics for Efficient Safety Test) database is especially focused on the connectivity of heterogeneous data and the intelligent query system which enable users to obtain relevant useful information from the complex data sets. The database deals with four kinds of information; compound, histopathology, gene expression, and annotation information. Currently, TEST database maintains toxicogenomics information for 16 compounds, 45 microarrays, 190 animal experiments, and customized 4.8 K rat clone set. Our presented system is expected to be a good information source for studying of toxicology mechanism in the genome-wide level and can also be applied to the designing toxicity test chip.
引用
收藏
页码:1335 / 1338
页数:4
相关论文
共 50 条
  • [21] MANAGEMENT SYSTEM PROTOTYPE FOR INTELLIGENT MOBILE CLOUD COMPUTING FOR BIG DATA
    Hussien, Nur Syahela
    Sulaiman, Sarina
    Shamsuddin, Siti Mariyam
    JURNAL TEKNOLOGI, 2016, 78 (12-2): : 19 - 28
  • [22] A Data-Driven Intelligent Energy Efficiency Management System for Ships
    Zeng, Xiangming
    Chen, Mingzhi
    Li, Hongfei
    Wu, Xianhua
    IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2023, 15 (01) : 270 - 284
  • [23] An intelligent Decision Support System in construction management by Data Warehousing technique
    Cao, Y
    Chau, KW
    Anson, M
    Zhang, JP
    ENGINEERING AND DEPLOYMENT OF COOPERATIVE INFORMATION SYSTEMS, PROCEEDINGS, 2002, 2480 : 360 - 369
  • [24] An intelligent management system for technology management
    Linn, RJ
    Zhang, W
    Li, ZY
    COMPUTERS & INDUSTRIAL ENGINEERING, 2000, 38 (03) : 397 - 412
  • [25] Toxicogenomics data and analysis workflows
    Callegaro, G.
    Kunnen, S.
    Burger, G.
    van de Water, B.
    TOXICOLOGY LETTERS, 2023, 384 : S5 - S6
  • [26] Design System Construction of Intelligent Enterprise Management System Based on Big Data Technology
    Xu, Yan
    2020 5TH INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA 2020), 2020, : 363 - 366
  • [27] Data Web Technology for Toxicogenomics
    Kang, Byeong-Chul
    Kim, Hyung-Yong
    Lee, Tae-ho
    Shin, Ga-Hee
    Park, Chul-Hwan
    MOLECULAR & CELLULAR TOXICOLOGY, 2009, 5 (03) : 42 - 42
  • [28] Regulatory acceptance of toxicogenomics data
    Frueh, FW
    Huang, SM
    Lesko, LJ
    ENVIRONMENTAL HEALTH PERSPECTIVES, 2004, 112 (12) : A663 - A664
  • [29] Toxicogenomics data: The road to acceptance
    Freeman, K
    ENVIRONMENTAL HEALTH PERSPECTIVES, 2004, 112 (12) : A680 - A685
  • [30] Intelligent Data Management System and Performance Joint Blockchain Model for Commercial Bank Management Accounting
    Han, Jing
    PROCEEDINGS OF THE 2021 FIFTH INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC 2021), 2021, : 1525 - 1528