baghera
importedsoftware/baghera
Bayesian Gene Heritability Analysis from GWAS summary statistics
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
- stracquadaniolab
- Country
- unknown
- Homepage
- baghera.readthedocs.io
- Repository
- github.com/stracquadaniolab/baghera
- Documentation
- unknown
- Tags
- bayesian-inference · bioinformatics · biostatistics · gwas · pymc3
- 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.
- GeneticsMakie.jlbioinformatics · gwas
🧬High-performance genetics- and genomics-related data visualization using Makie.jl
- gorbioinformatics · gwas
GORpipe is a tool based on a genomic ordered relational architecture and allows analysis of large sets of genomic and phenotypic tabular data using declarative query language, in a parallel…
- hailbioinformatics · gwas
Cloud-native genomic dataframes and batch computing
- kGWASflowbioinformatics · gwas
kGWASflow is a Snakemake workflow for performing k-mers-based GWAS.
- MetaInformAntbioinformatics · gwas
METAINFORMANT is a Python 3.11+ multi-omic bioinformatics toolkit spanning 28 modules and 650+ files for DNA, RNA-seq, protein, epigenome and single-cell analysis, GWAS with fine-mapping and eQTL,…
- snputilsbioinformatics · gwas
Python toolkit for fast genotype I/O, ancestry analysis, population-genetics statistics, genotype QC, GWAS, and visualization
- api.github.com/repos/stracquadaniolab/bagheraretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-01-28, 9 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/27.json→ .entries["baghera"]
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