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GitHub / laylagerami / MAVEN

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).

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/laylagerami%2FMAVEN

Stars: 9
Forks: 0
Open Issues: 1

License: gpl-3.0
Language: R
Repo Size: 19.7 MB
Dependencies: 1

Created: over 3 years ago
Updated: 9 months ago
Last pushed: over 1 year ago
Last synced: 7 months ago

Topics: bioinformatics, carnival, chemoinformatics, dorothea, drug-discovery, mechanism-of-action, moa, pidgin, progeny, shiny-apps

Files

Readme

Dependencies

Dockerfile docker

rocker/shiny-verse latest build