Abstract
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.
| Original language | English |
|---|---|
| Journal | Database |
| Volume | 2018 |
| Issue number | 2018 |
| DOIs | |
| Publication status | Published - Jan 1 2018 |
| Externally published | Yes |
Fingerprint
ASJC Scopus subject areas
- Information Systems
- Biochemistry, Genetics and Molecular Biology(all)
- Agricultural and Biological Sciences(all)
Cite this
ChemDIS 2 : An update of chemical-disease inference system. / Tung, Chun Wei; Wang, Shan Shan.
In: Database, Vol. 2018, No. 2018, 01.01.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - ChemDIS 2
T2 - An update of chemical-disease inference system
AU - Tung, Chun Wei
AU - Wang, Shan Shan
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.
UR - http://www.scopus.com/inward/record.url?scp=85056074558&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056074558&partnerID=8YFLogxK
U2 - 10.1093/database/bay077
DO - 10.1093/database/bay077
M3 - Article
C2 - 30053236
AN - SCOPUS:85056074558
VL - 2018
JO - Database : the journal of biological databases and curation
JF - Database : the journal of biological databases and curation
SN - 1758-0463
IS - 2018
ER -