{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/mod-finder-identify-multi-omics-data-sets","title":"MOD-Finder: Identify multi-omics data sets related to defined chemical exposure","arxiv_id":"1907.06346","date":"2019-07-15","proceeding":null,"authors":["S. Canzler","J. Hackermüller","J. Schor"],"abstract":"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","url_abs":"http://arxiv.org/abs/1907.06346v1","url_pdf":"http://arxiv.org/pdf/1907.06346v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"mod-finder-identify-multi-omics-data-sets","repo_url":"https://github.com/yigbt/MOD-Finder","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}