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SCpubr

imported

software/scpubr

Generate high quality, publication ready visualizations for single cell transcriptomics data.

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

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
data-visualization · ggplot2 · publication-quality-plots · r · rstats · seurat · single-cell · single-cell-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.

  • scCustomizeggplot2 · seurat · single-cell · single-cell-genomics

    R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

  • Seurat.utilsseurat · single-cell · single-cell-genomics

    Various utility functions for Seurat v5 single-cell analysis

  • cirrocumulusdata-visualization · seurat · single-cell

    Bring your single-cell data to life

  • medical-expense-analysisdata-visualization · ggplot2

    EDA on medical insurance data using Python and R to explore how age, BMI, smoking, and other factors influence claim amounts and health risk profiles.

  • plotthisggplot2 · single-cell

    plotthis is an R package that is built upon ggplot2 and other plotting packages.

  • scCATCHseurat · single-cell

    Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

sources
  1. api.github.com/repos/enblacar/SCpubr
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-02, 240 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/0.json→ .entries["scpubr"]

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