  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
