Summary: Integration of multi-omics data on chemical exposure of cells or organisms promises a more complete representation of the responding pathways than single omics data. Data of different omics layers, like transcriptome or proteome is deposited in different repositories. Additionally, precisely specifying a chemical of interest that was used in the exposure experiments suffers from different nomenclatures and non-uniquely mapping of chemical identifiers. The manual search for corresponding omics data sets of different layers for exposure with a chemical of interest is thus a tedious task. We have developed MOD-Finder (Multi-Omics Data set Finder) to efficiently search for chemical-related omics data sets in several publicly available databases in an automated manner. A plain and simple presentation of the returned omics data sets is augmented with effect information that are assumed to be triggered by the chemical of interest. Availability and Implementation: MOD-Finder is implemented in R using the Shiny package. The web service is available at https://webapp.ufz.de/mod_finder and the source code under the GNU GPL v3 license at https://github.com/yigbt/MOD-Finder. Supplementary information: Supplementary data are available at https://www.ufz.de/index.php?en=44919
@article{arxiv.1907.06346,
title = {MOD-Finder: Identify multi-omics data sets related to defined chemical exposure},
author = {S. Canzler and J. Hackermüller and J. Schor},
journal= {arXiv preprint arXiv:1907.06346},
year = {2019}
}