Maize single-cell resource

scMaize Single-cell atlas and foundation model

A curated maize single-cell resource for atlas visualization, gene expression query, model access, and data download.

scMaizeAtlasIntegrated UMAP
Cells385,675
Cell types46
Projects20
Tissues7
Cell typeTissueProject
20+Projects
385,675Cells
66Samples
7Tissues
3Platforms
Resources

Database modules

D

Data

Dataset records, tissue sources, cell numbers, platforms, publications, and download links.

A

Atlas

Integrated UMAP, tissue distribution, cell type annotation, and marker gene expression.

M

Model

scMaize model versions, input format, embedding output, applications, and weights.

O

Apps

Cell type annotation, cell embedding generation, and gene expression prediction.

Download

Expression matrices, metadata, integrated embeddings, model weights, and example files.

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Help

Quick start, atlas guide, model guide, citation, FAQ, and contact information.

Data Resources

Integrated maize single-cell and single-nucleus transcriptomic datasets.

20+Projects
385,675Cells
66Samples
7Tissues
3Platforms

Tissue coverage

RootLeafEarSeedlingEndospermTasselShoot

Dataset summary

SourcePublic datasets
Data typesc/snRNA-seq
OutputMatrix / Metadata / Embedding
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ProjectTissueSamplesPlatformPublicationResource
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scMaizeAtlas

Interactive maize single-cell atlas with tissue, cell type, and gene expression layers.

Interactive visualizationIntegrated UMAP
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scMaize Model

Foundation models for maize single-cell representation and prediction.

GitHub README

scMaize-Exp

Expression-based model for cell embedding and annotation.

Input: expression matrixOutput: cell embeddingDimension: 384Weights: available

scMaize-GO

GO-enhanced model for expression prediction and functional analysis.

Cell type annotationSimilarity searchExpression predictionModel download
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Online Apps

Web tools for query datasets and scMaize model applications.

Cell type annotation

Predict cell type labels for uploaded expression matrices.

Cell embedding

Generate low-dimensional cell representations.

Expression prediction

Predict masked or missing gene expression values.

Upload expression matrixCSV / h5ad / mtx

Download

Data files, model weights, embeddings, and example datasets.

Loading resources Reading the database file index

Help

Guide, citation, and contact information.

Quick start

Use Data to browse projects, samples, tissues, platforms, publications, and linked source records. Open Atlas for UMAP exploration, Model for pretrained model resources, and Download for metadata, H5AD, model weights, reports, RDS files, and expression matrices.

Data guide

Search by project, sample, tissue, PubMed, or platform. Open a project row to view sample-level metadata, source links, and available files. Dataset filters can be combined for narrower browsing.

Atlas guide

The Atlas page shows a lightweight UMAP preview generated from the integrated scMaizeAtlas. Color points by cell type, major cell type, tissue, project, or variety, and use filters to focus on selected tissues, cell types, or projects.

Model guide

The Model page summarizes scMaize-Exp and scMaize-GO resources. Performance values are synchronized daily from the project GitHub README.

Download guide

Use Download for global resources such as metadata, atlas H5AD, and model weights. For sample-specific files, open the Data detail modal and download raw matrices, reports, or filtered RDS files from each sample.

Citation

Please cite scMaize when using atlas data, embeddings, model weights, or derived results. Until a formal citation is listed, link to the project repository: yjthu/scMaize.

Contact us

For data, model, or website questions, use the protected email link below or open the project repository.

CitationGitHubContactFAQ