Chemical effects in biological systems (CEBS) object model for toxicology data, SysTox-OM: design and application | Zendy

Sandhya Xirasagar | Zendy; Scott Gustafson | Zendy; Chengcheng Huang | Zendy; Qinyan Pan | Zendy; Jennifer Fostel | Zendy; Paul D. Boyer | Zendy; B. Alex Merrick | Zendy; Kenneth B. Tomer | Zendy; Denny D. Chan | Zendy; K. J. Yost | Zendy; Danielle Choi | Zendy; Nianqing Xiao | Zendy; Stanley Stasiewicz | Zendy; Pierre R. Bushel | Zendy; Michael D. Waters | Zendy

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Chemical effects in biological systems (CEBS) object model for toxicology data, SysTox-OM: design and application

Author(s) -

Sandhya Xirasagar,

Scott Gustafson,

Chengcheng Huang,

Qinyan Pan,

Jennifer Fostel,

Paul D. Boyer,

B. Alex Merrick,

Kenneth B. Tomer,

Denny D. Chan,

K. J. Yost,

Danielle Choi,

Nianqing Xiao,

Stanley Stasiewicz,

Pierre R. Bushel,

Michael D. Waters

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btk045

Subject(s) - computer science , context (archaeology) , data curation , data science , standardization , data model (gis) , drug discovery , data mining , database , bioinformatics , artificial intelligence , biology , paleontology , operating system

The CEBS data repository is being developed to promote a systems biology approach to understand the biological effects of environmental stressors. CEBS will house data from multiple gene expression platforms (transcriptomics), protein expression and protein-protein interaction (proteomics), and changes in low molecular weight metabolite levels (metabolomics) aligned by their detailed toxicological context. The system will accommodate extensive complex querying in a user-friendly manner. CEBS will store toxicological contexts including the study design details, treatment protocols, animal characteristics and conventional toxicological endpoints such as histopathology findings and clinical chemistry measures. All of these data types can be integrated in a seamless fashion to enable data query and analysis in a biologically meaningful manner.

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