Toolkit/scMOVIR

scMOVIR

Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

Here, we present scMOVIR, a single-cell multi-omics database for human viral infections and immune responses.

Usefulness & Problems

No literature-backed usefulness or problem-fit explainer has been materialized for this record yet.

Published Workflows

Objective: Build a comprehensive single-cell multi-omics database for human viral infections and immune responses by integrating heterogeneous datasets into a consistent and interoperable resource.

Why it works: The paper states that consistency and interoperability are supported by standardized preprocessing, batch correction, unified cell-type annotation, and metadata harmonization using authoritative ontologies.

integration of transcriptomic, proteomic, and immune receptor repertoire profiles at single-cell resolutionstandardized preprocessingbatch correctionunified cell-type annotationontology-based metadata harmonizationdataset integrationstandardized preprocessingbatch correctioncell-type annotationmetadata harmonization

Stages

  1. 1.
    Dataset integration(library_build)

    This stage creates the underlying integrated resource spanning multiple omics modalities and infection contexts.

    Selection: Inclusion of transcriptomic, proteomic, and immune receptor repertoire profiles at single-cell resolution from human viral infection contexts.

  2. 2.
    Standardized preprocessing and harmonization(secondary_characterization)

    This stage standardizes heterogeneous source datasets so they can be compared and explored within one resource.

    Selection: Application of batch correction, unified cell-type annotation, and ontology-harmonized metadata to all datasets.

  3. 3.
    User-facing exploration and visualization(confirmatory_validation)

    This stage makes the curated resource usable for investigating virus-host immune interactions and supporting antiviral research.

    Selection: Expose integrated and harmonized data through user-friendly interfaces for exploration and interactive visualization.

Taxonomy & Function

Primary hierarchy

Technique Branch

Method: A concrete computational method used to design, rank, or analyze an engineered system.

Mechanisms

No mechanism tags yet.

Target processes

No target processes tagged yet.

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1processing standardizationsupports2026Source 1needs review

All datasets in scMOVIR undergo standardized preprocessing including batch correction and unified cell-type annotation, with metadata harmonized using authoritative ontologies.

Claim 2resource coveragesupports2026Source 1needs review

The datasets in scMOVIR span 59 disease states and more than 30 tissue types.

disease states 59tissue types 30
Claim 3resource functionsupports2026Source 1needs review

scMOVIR provides user-friendly interfaces for dataset exploration and interactive visualization of cellular dynamics and molecular profiles.

Claim 4resource introductionsupports2026Source 1needs review

scMOVIR is a single-cell multi-omics database for human viral infections and immune responses.

Claim 5resource scalesupports2026Source 1needs review

scMOVIR compiles 8532 human samples across 114 viral species, subtypes, and strains.

human samples 8532viral species/subtypes/strains 114
Claim 6resource scopesupports2026Source 1needs review

scMOVIR systematically integrates transcriptomic, proteomic, and immune receptor repertoire profiles at single-cell resolution.

Approval Evidence

1 source6 linked approval claimsfirst-pass slug scmovir
Here, we present scMOVIR, a single-cell multi-omics database for human viral infections and immune responses.

Source:

processing standardizationsupports

All datasets in scMOVIR undergo standardized preprocessing including batch correction and unified cell-type annotation, with metadata harmonized using authoritative ontologies.

Source:

resource coveragesupports

The datasets in scMOVIR span 59 disease states and more than 30 tissue types.

Source:

resource functionsupports

scMOVIR provides user-friendly interfaces for dataset exploration and interactive visualization of cellular dynamics and molecular profiles.

Source:

resource introductionsupports

scMOVIR is a single-cell multi-omics database for human viral infections and immune responses.

Source:

resource scalesupports

scMOVIR compiles 8532 human samples across 114 viral species, subtypes, and strains.

Source:

resource scopesupports

scMOVIR systematically integrates transcriptomic, proteomic, and immune receptor repertoire profiles at single-cell resolution.

Source:

Comparisons

No literature-backed comparison notes have been materialized for this record yet.

Ranked Citations

  1. 1.

    Extracted from this source document. Seeded from load plan for claim c1.