EUGENe
importedsoftware/eugene
Elucidating the Utility of Genomic Elements with Neural Nets
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- ML4GLand
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/ML4GLand/EUGENe
- Documentation
- unknown
- Tags
- bioinformatics · deep-learning · genomics · machine-learning · python · regulatory-genomics
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- chorusbioinformatics · genomics · regulatory-genomics
One interface to nine genomic deep-learning oracles — variant effect prediction, calibrated per-track percentiles, and plain-English analysis through MCP.
- DNA-Diffusiongenomics · regulatory-genomics
🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨
- craftgrnbioinformatics · regulatory-genomics
Combined RNA and ATAC Footprint Training of Gene Regulatory Network
- fp-toolsbioinformatics · regulatory-genomics
Command-first ATAC-seq footprinting, motif analysis, and reproducible interactive reports
- adambioinformatics · genomics
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
- adaptbioinformatics · genomics
A package for designing activity-informed nucleic acid diagnostics for viruses.
- api.github.com/repos/ML4GLand/EUGENeretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-12-02, 69 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/10.json→ .entries["eugene"]
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