scarlet
importedsoftware/scarlet
SCARLET (Single-cell Algorithm for Reconstructing Loss-supported Evolution of Tumors) is an algorithm that reconstructs tumor phylogenies from single-cell DNA sequencing data. SCARLET uses a…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- raphael-group
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/raphael-group/scarlet
- Documentation
- unknown
- Tags
- algorithm · cancer-genomics · phylogenetics · single-cell · tumor-evolution · tumor-phylogeny
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- warlocktumor-evolution
Warlock is a snakemake workflow to spawn multiple demons (deme-based oncology models) as jobs running around on a cluster environment 😈😈
- clonealigncancer-genomics · single-cell
Bayesian inference of clone-specific gene expression estimates by integrating single-cell RNA-seq and single-cell DNA-seq data
- HGG-oncohistonescancer-genomics · single-cell
Analysis for "K27M in canonical and noncanonical H3 variants occurs in distinct oligodendroglial cell lineages in brain midline gliomas" (Jessa et al, Nature Genetics, 2022)
- ikaruscancer-genomics · single-cell
Identifying tumor cells at the single-cell level using machine learning
- SBMClonecancer-genomics · single-cell
SBMClone, a method for recovering tumor clonal composition from sparse single-cell mutation data
- SCICoNEcancer-genomics · single-cell
Single-cell copy number calling and event history reconstruction.
- api.github.com/repos/raphael-group/scarletretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-02-21, 8 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/17.json→ .entries["scarlet"]
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