GeneNetWeaver (GNW) is an open-source tool for in silico benchmark generation and performance profiling of network inference methods. GNW was used to generate the community-wide DREAM3, DREAM4 and DREAM5 In Silico Challenges.
Features
- Extraction of modules from known transcriptional regulatory networks (E.coli, Yeast, etc.)
- Generation of realistic in-silico gene network benchmarks for network inference methods
- Simulation of realistic biological experiments (knowckout, knockdown, dual-knockout, multifactorial perturbations, time series, etc.)
- Performance evaluation of network predictions (Precision-Recall, ROC, motif analysis)
Categories
Bio-InformaticsLicense
MIT LicenseFollow GeneNetWeaver
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of GeneNetWeaver!