TY - JOUR
T1 - ChemDIS 2
T2 - An update of chemical-disease inference system
AU - Tung, Chun Wei
AU - Wang, Shan Shan
N1 - Funding Information:
This work was supported by Ministry of Science and Technology of Taiwan (MOST104-2221-E-037-001-MY3); National Health Research Institutes (NHRI-107A1-EMCO-0318184); and Research Center for Environmental Medicine in Kaohsiung Medical University from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan. Open access publication was supported by Ministry of Science and Technology of Taiwan (MOST104-2221-E-037-001-MY3). The funding agencies play no role in the study design, data analysis and manuscript preparation.
Publisher Copyright:
© The Author(s) 2018. Published by Oxford University Press.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Computational inference of affected functions, pathways and diseases for chemicals could largely accelerate the evaluation of potential effects of chemical exposure on human beings. Previously, we have developed a ChemDIS system utilizing information of interacting targets for chemical-disease inference. With the target information, testable hypotheses can be generated for experimental validation. In this work, we present an update of ChemDIS 2 system featured with more updated datasets and several new functions, including (i) custom enrichment analysis function for single omics data; (ii) multi-omics analysis function for joint analysis of multi-omics data; (iii) mixture analysis function for the identification of interaction and overall effects; (iv) web application programming interface (API) for programmed access to ChemDIS 2. The updated ChemDIS 2 system capable of analyzing more than 430 000 chemicals is expected to be useful for both drug development and risk assessment of environmental chemicals.
AB - Computational inference of affected functions, pathways and diseases for chemicals could largely accelerate the evaluation of potential effects of chemical exposure on human beings. Previously, we have developed a ChemDIS system utilizing information of interacting targets for chemical-disease inference. With the target information, testable hypotheses can be generated for experimental validation. In this work, we present an update of ChemDIS 2 system featured with more updated datasets and several new functions, including (i) custom enrichment analysis function for single omics data; (ii) multi-omics analysis function for joint analysis of multi-omics data; (iii) mixture analysis function for the identification of interaction and overall effects; (iv) web application programming interface (API) for programmed access to ChemDIS 2. The updated ChemDIS 2 system capable of analyzing more than 430 000 chemicals is expected to be useful for both drug development and risk assessment of environmental chemicals.
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U2 - 10.1093/database/bay077
DO - 10.1093/database/bay077
M3 - Article
C2 - 30053236
AN - SCOPUS:85056074558
SN - 1758-0463
VL - 2018
JO - Database : the journal of biological databases and curation
JF - Database : the journal of biological databases and curation
IS - 2018
ER -
