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.
- 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
- Clair3-RNAlong-read-sequencing · nanopore · rna-seq
Clair3-RNA - a long-read small variant caller for RNA sequencing data
- zUMIspipeline · rna-seq · rnaseq
zUMIs: A fast and flexible pipeline to process RNA sequencing data with UMIs
- scrnaseq10xgenomics · nextflow · nf-core
Single-cell RNA-Seq pipeline for barcode-based protocols such as 10x, DropSeq or SmartSeq, offering a variety of aligners and empty-droplet detection
- diaproteomicsnextflow · nf-core · pipeline
Automated quantitative analysis of DIA proteomics mass spectrometry measurements.
- 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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