cirrocumulus
importedsoftware/cirrocumulus
Bring your single-cell data to life
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- active
- Maturity
- deployed
- Organization
- lilab-bcb
- Country
- unknown
- Homepage
- cirrocumulus.readthedocs.io/
- Repository
- github.com/lilab-bcb/cirrocumulus
- Documentation
- unknown
- Tags
- 10x · anndata · bioinformatics · data-visualization · scanpy · scrna-seq · seurat · single-cell
- 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.
- SCPanndata · scanpy · scrna-seq · seurat
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
- fastq_utils10x · scrna-seq · single-cell
Validation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.
- BadranSeqbioinformatics · scrna-seq · seurat · single-cell
The scRNA-seq figures your paper deserves. One package, zero boilerplate.
- oracle-scrna-seqbioinformatics · scanpy · scrna-seq · single-cell
Single-cell RNA-seq following scverse practices: QC, doublet detection, normalization, batch correction, clustering, marker genes, and cell-type annotation, with optional trajectory analysis.
- CyteTypeanndata · scanpy · single-cell
Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data
- anndataanndata · bioinformatics · scanpy
Annotated data.
- api.github.com/repos/lilab-bcb/cirrocumulusretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-13, 100 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/48.json→ .entries["cirrocumulus"]
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