SCope
importedsoftware/scope
Fast visualization tool for large-scale and high dimensional single-cell 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
- active
- Maturity
- deployed
- Organization
- aertslab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/aertslab/SCope
- Documentation
- unknown
- Tags
- aws · cloud · gene-expression · gene-regulatory-network · grpc · large-scale-data-visualization · loom · reactjs
- 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.
- nextflowaws · cloud
A DSL for data-driven computational pipelines
- pySCENICgene-regulatory-network
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene…
- SCopeLoomRloom
R package (compatible with SCope) to create generic .loom files and extend them with other data e.g.: SCENIC regulons, Seurat clusters and markers, ...
- cromwellcloud
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
React & React Native
- vetManagercloud
VetManager® is a Distributed and fault-tolerant service which allows you to manage your veterinary practice easily. You can have an ordered storage with all things that matters: clients, pets,…
- api.github.com/repos/aertslab/SCoperetrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-06-23, 80 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/43.json→ .entries["scope"]
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