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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/11299


    Title: ChemDIS 2: An update of chemical-disease inference system
    Authors: Tung, CW;Wang, SS
    Contributors: National Institute of Environmental Health Sciences
    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.Database URL: ChemDIS 2 is freely accessible via https://cwtung.kmu.edu.tw/chemdis.
    Date: 2018-01-01
    Relation: Database. 2018 Jan 1;2018:Article number bay077.
    Link to: http://dx.doi.org/10.1093/database/bay077
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1758-0463&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000440872600001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85056074558
    Appears in Collections:[童俊維] 期刊論文

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