scCATCH
importedsoftware/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.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/ZJUFanLab/scCATCH
- Documentation
- unknown
- Tags
- cell-markers · cluster-annotation · marker-genes · rna-seq · sequencing · seurat · single-cell · transcriptome
- 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.
- CyteTypemarker-genes · rna-seq · single-cell
Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data
- LR-splitpiperna-seq · single-cell · transcriptome
Demultiplexing and debarcoding tool designed for LR-Split-seq data.
- TrendCatcherrna-seq · single-cell · transcriptome
TrendCatcher is an open source R-package that allows users to systematically analyze and visualize time course data. Please cite "Temporal transcriptomic analysis using TrendCatcher identifies early…
- pseudoBulkrna-seq · seurat · single-cell
Cluster-specific pseudo-bulk analysis of 10X single-cell RNA-seq data by connecting Seurat to the VBC RNA-seq pipeline.
- RATTLErna-seq · transcriptome
Reference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing
- COSGmarker-genes · single-cell
Accurate and fast cell marker gene identification with COSG
- api.github.com/repos/ZJUFanLab/scCATCHretrieved 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 →
/v1/entries/30.json→ .entries["sccatch"]
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