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spatialvi

imported

software/spatialvi

Pipeline for processing spatially-resolved gene counts with spatial coordinates and image data. Designed for 10x Genomics Visium transcriptomics.

Machine-generated from the listed sources and not yet reviewed by a human.

spatialvi project image
GitHub preview card for nf-core/spatialvi. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
nf-core
Country
unknown
Documentation
unknown
Tags
10x-genomics · 10xgenomics · bioinformatics · image-processing · microscopy · nextflow · nf-core · pipeline
Regulatory
unknown
built by · 6

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    Single-cell RNA-Seq pipeline for barcode-based protocols such as 10x, DropSeq or SmartSeq, offering a variety of aligners and empty-droplet detection

  • molkartimage-processing · nextflow · nf-core · pipeline

    A pipeline for processing Molecular Cartography data from Resolve Bioscience (combinatorial FISH)

  • mcmicroimage-processing · microscopy · nextflow · nf-core

    An end-to-end processing pipeline that transforms multi-channel whole-slide images into single-cell data.

  • circrnabioinformatics · nextflow · nf-core · pipeline

    circRNA quantification, differential expression analysis and miRNA target prediction of RNA-Seq data

  • eagerbioinformatics · nextflow · nf-core · pipeline

    A fully reproducible and state-of-the-art ancient DNA analysis pipeline

sources
  1. api.github.com/repos/nf-core/spatialvi
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-31, 81 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 →

machine-readable

/v1/entries/50.json→ .entries["spatialvi"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.