DecoPath: a web application for decoding pathway enrichment analysis

Author:

Mubeen Sarah123ORCID,Bharadhwaj Vinay S12ORCID,Gadiya Yojana12ORCID,Hofmann-Apitius Martin12ORCID,Kodamullil Alpha T1ORCID,Domingo-Fernández Daniel134ORCID

Affiliation:

1. Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin 53757, Germany

2. Bonn-Aachen International Center for IT, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn 53115, Germany

3. Fraunhofer Center for Machine Learning, Germany

4. Enveda Biosciences, Boulder, CO 80301, USA

Abstract

Abstract The past decades have brought a steady growth of pathway databases and enrichment methods. However, the advent of pathway data has not been accompanied by an improvement in interoperability across databases, hampering the use of pathway knowledge from multiple databases for enrichment analysis. While integrative databases have attempted to address this issue, they often do not account for redundant information across resources. Furthermore, the majority of studies that employ pathway enrichment analysis still rely upon a single database or enrichment method, though the use of another could yield differing results. These shortcomings call for approaches that investigate the differences and agreements across databases and methods as their selection in the design of a pathway analysis can be a crucial step in ensuring the results of such an analysis are meaningful. Here we present DecoPath, a web application to assist in the interpretation of the results of pathway enrichment analysis. DecoPath provides an ecosystem to run enrichment analysis or directly upload results and facilitate the interpretation of results with custom visualizations that highlight the consensus and/or discrepancies at the pathway- and gene-levels. DecoPath is available at https://decopath.scai.fraunhofer.de, and its source code and documentation can be found on GitHub at https://github.com/DecoPath/DecoPath.

Funder

Cognitive Internet Technologies

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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