DecoPath: A web application for decoding pathway enrichment analysis
Sarah MubeeniD, Vinay Srinivas BharadhwajiD, Yojana GadiyaiD, Martin Hofmann‐ApitiusiD, Alpha Tom KodamulliliD, Daniel Domingo‐FernándéziD
Abstract
The past two decades have brought a steady growth of pathway databases and pathway enrichment methods. However, the advent of pathway data has not been accompanied by an improvement with regards to interoperability across databases, thus, hampering the use of pathway knowledge from multiple databases for pathway enrichment analyses. While integrative databases have attempted to address this issue by collating pathway knowledge from multiple resources, these approaches do not account for redundant information across them. On the other hand, the majority of studies that employ pathway enrichment analyses still rely upon a single database, though the use of another resource could yield differing results, which is similarly the case when different pathway enrichment methods are employed. These shortcomings call for approaches that investigate the differences and agreements across databases and enrichment methods as their selection in the experimental design of a pathway analysis can be a crucial first 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 pathway enrichment analysis or directly upload results and facilitate the interpretation of these 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.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 6
- FWCI
- 0.39
- Field percentile
- top 48%
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- PathMe: Merging and exploring mechanistic pathway knowledge
Daniel Domingo‐Fernándéz, Sarah Mubeen, … Martin Hofmann‐Apitius·BMC BioinformaticsPeer-reviewed·May 15, 2019
- The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling
Sarah Mubeen, Charles Tapley Hoyt, … Daniel Domingo‐Fernándéz·Frontiers in GeneticsPeer-reviewed·Nov 22, 2019
- aPEAR: an R package for autonomous visualisation of pathway enrichment networks
Ieva Kerševičiūtė, Juozas Gordevičius·bioRxiv·Mar 28, 2023
- Using set theory to reduce redundancy in pathway sets
Ruth Stoney, Jean‐Marc Schwartz, … Goran Nenadić·BMC BioinformaticsPeer-reviewed·Oct 19, 2018
- EnrichViz: An Interactive R Shiny Application for Visualization of Pathway Enrichment Results from Omics Data
Rolando García-Milian·bioRxiv·Jun 24, 2026
- MetENP/MetENPWeb: An R package and web application for metabolomics enrichment and pathway analysis in Metabolomics Workbench
Kumari Sonal Choudhary, Eoin Fahy, … Shankar Subramaniam·bioRxiv·Nov 20, 2020