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scCATCH

imported

software/sccatch

Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing 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
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
www.sciencedirect.com/science/article/pii/S2589004220300663
Repository
github.com/ZJUFanLab/scCATCH
Documentation
unknown
Tags
cell-markers · cluster-annotation · marker-genes · rna-seq · sequencing · seurat · single-cell · transcriptome
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.

  • COSGmarker-genes · single-cell

    Accurate and fast cell marker gene identification with COSG

  • cirrocumulusseurat · single-cell

    Bring your single-cell data to life

  • scCustomizeseurat · single-cell

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

  • SCpubrseurat · single-cell

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

  • Seurat.utilsseurat · single-cell

    Various utility functions for Seurat v5 single-cell analysis

  • alevin-fryrna-seq · single-cell

    🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.

sources
  1. api.github.com/repos/ZJUFanLab/scCATCH
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-05-08, 243 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/30.json→ .entries["sccatch"]

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