• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. DecoPath: A web application for decoding pathway enrichment analysis
 
  • Details
  • Full
Options
2021
Journal Article
Title

DecoPath: A web application for decoding pathway enrichment analysis

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.
Author(s)
Mubeen, Sarah  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Bharadhwaj, Vinay
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Gadiya, Yojana  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Hofmann-Apitius, Martin  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Kodamullil, Alpha
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Domingo-Fernández, Daniel
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Journal
NAR Genomics and bioinformatics  
Open Access
DOI
10.1093/nargab/lqab087
File(s)
N-640633.pdf (2.48 MB)
Rights
CC BY 4.0: Creative Commons Attribution
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Keyword(s)
  • pathway database

  • pathway enrichment

  • web application

  • bioinformatics software

  • Omics data

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024
OSZAR »