scnanoseq
importedsoftware/scnanoseq
Single-cell/nuclei pipeline for data derived from Oxford Nanopore and 10X Genomics
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- nf-core
- Country
- unknown
- Homepage
- nf-co.re/scnanoseq/
- Repository
- github.com/nf-core/scnanoseq
- Documentation
- unknown
- Tags
- 10xgenomics · long-read-sequencing · nanopore · nextflow · nf-core · pipeline · rna-seq · rnaseq
- 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.
- bambu-pipelong-read-sequencing · nanopore · nextflow · pipeline · rna-seq
Transcript discovery and quantification for long read single cell and spatial transcriptomics data using Bambu
- spatialvi10xgenomics · nextflow · nf-core · pipeline
Pipeline for processing spatially-resolved gene counts with spatial coordinates and image data. Designed for 10x Genomics Visium transcriptomics.
- rnavarnextflow · nf-core · pipeline · rnaseq
gatk4 RNA variant calling pipeline
- taxprofilernanopore · nextflow · nf-core · pipeline
Highly parallelised multi-taxonomic profiling of shotgun short- and long-read metagenomic data
- circrnanextflow · nf-core · pipeline · rna-seq
circRNA quantification, differential expression analysis and miRNA target prediction of RNA-Seq data
- Clair3-RNAlong-read-sequencing · nanopore · rna-seq
Clair3-RNA - a long-read small variant caller for RNA sequencing data
- api.github.com/repos/nf-core/scnanoseqretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-28, 56 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/40.json→ .entries["scnanoseq"]
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