Maize Single-Cell RNA Sequencing Benchmarking Data

284.8 MB of data supports a benchmarking study for plant single-cell RNA sequencing workflows. This resource is designed for evaluating scRNA-seq performance in maize, including nuclei and protoplast-derived cells. Liang Zong published the dataset in 2026 to accompany a study in Plant Methods.

Use Cases

• Benchmarking scRNA-seq workflow performance based on nuclei and protoplast-derived cell data
• Evaluating full-length isoform analysis methods for plant transcriptomics
• Developing computational tools for plant single-cell transcriptomics

Strengths

• 284.8 MB of data provides a substantial resource for method evaluation
• Specifically designed for benchmarking in maize, a key plant model
• Associated with a peer-reviewed study published in Plant Methods

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Likely generated from experimental single-cell RNA sequencing workflows in maize.

Freshness

Last updated 2026-04-09 05:57:02