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MrBiomics

imported

software/mrbiomics

MrBiomics: Composable modules and recipes automate bioinformatics for multi-omics analyses

Machine-generated from the listed sources and not yet reviewed by a human.

MrBiomics project image
GitHub preview card for epigen/MrBiomics. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
epigen
Country
unknown
Homepage
epigen.github.io/MrBiomics/
Repository
github.com/epigen/MrBiomics
Documentation
unknown
Tags
automation · bioinformatics · biomedical · data-science · epigenetics · framework · genetics · genomics
Regulatory
unknown
built by · 4

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    🧬High-performance genetics- and genomics-related data visualization using Makie.jl

  • genipebioinformatics · genetics · genomics

    Genome-wide imputation pipeline

  • gnomAD_DBbioinformatics · genetics · genomics

    Scalable SQLite database for fast querying of gnomAD variant annotations (allele frequency, depth, population metrics). Supports gnomAD v2-v4, WGS and WES.

  • gorbioinformatics · genetics · genomics

    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…

sources
  1. api.github.com/repos/epigen/MrBiomics
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-03, 175 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 →

machine-readable

/v1/entries/48.json→ .entries["mrbiomics"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.