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Elucidate and visualise a compound's mechanism of action by combining structure-based target prediction with gene expression-based causal reasoning, plus pathway enrichment to put results into biological context. GUI-based (minimal coding experience required).

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laylagerami/MAVEN

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About MAVEN

MAVEN is an R shiny app which enables integrated bioinformatics and chemoinformatics analysis for mechansism of action analysis and visualisation.

The tool is a collaborative work between the Bender Group at University of Cambridge and Saez Lab at Heidelberg University (Rosa Hernansaiz Ballesteroshttps://github.com/rosherbal).

Documentation can be found athttps://laylagerami.github.io/MAVEN/. MAVEN can beinstalled locally or as a Docker or Singularity container. For astep-by-step tutorial for exploring the mechanism of action of a query compound, you can view our example using the HER2 inhibitor lapatanib.

Implemented approaches and data:

  • Target prediction provided by PIDGIN (BenderGroup/PIDGINv4)
  • Prior knowledge network from Omnipath DB (https://omnipathdb.org/)
  • SMILES widgets provided by ChemDoodle (zachcp/chemdoodle)
  • TF enrichment with DoRothEA (saezlab/dorothea)
  • Pathway analysis with PROGENy (saezlab/progeny)
  • Causal reasoning with CARNIVAL (saezlab/carnival)
  • MSigDb gene sets for network pathway enrichment (http://www.gsea-msigdb.org/gsea/msigdb/index.jsp)
  • Helper scripts are provided by saezlab/transcriptutorial

Check outhttps://github.com/saezlab/shinyfunki for a multi-omic functional integration and analysis platform which implements many of the same tools.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, seehttps://www.gnu.org/licenses/.

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Elucidate and visualise a compound's mechanism of action by combining structure-based target prediction with gene expression-based causal reasoning, plus pathway enrichment to put results into biological context. GUI-based (minimal coding experience required).

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