openmedical/registry
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scCustomize

imported

software/sccustomize

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

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
customization · ggplot2 · scrna-seq · seurat · single-cell · single-cell-genomics · single-cell-rna-seq · visualization
Regulatory
unknown
built by · 5

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.

  • SCpubrggplot2 · seurat · single-cell · single-cell-genomics

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

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

    Various utility functions for Seurat v5 single-cell analysis

  • cirrocumulusscrna-seq · seurat · single-cell

    Bring your single-cell data to life

  • scgenscrna-seq · single-cell · single-cell-genomics

    Single cell perturbation prediction

  • scRNA-toolsscrna-seq · single-cell · single-cell-rna-seq

    Table of software for the analysis of single-cell RNA-seq data.

  • dittoSeqsingle-cell · single-cell-rna-seq · visualization

    Color blindness friendly visualization of single-cell and bulk RNA-sequencing data

sources
  1. api.github.com/repos/samuel-marsh/scCustomize
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-30, 306 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/50.json→ .entries["sccustomize"]

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