Genomic Data and Code for Vertebrate Brain Cell Type Evolution Study

15.9 GB of data and code supporting research on how whole genome duplication drove cell type evolution in the vertebrate brain. The repository, authored by Yuanzhen Zhu and last updated in April 2026, includes analysis scripts and datasets. All instructions are provided in the associated paper's Methods section and README files within the archive.

Use Cases

• Replicating the evolutionary analysis described in the associated paper based on the provided datasets.
• Developing comparative genomics pipelines using the included code and environment files.
• Training models for cell type classification based on genomic features inferred from the study.

Strengths

• Large 15.9 GB repository containing both data and analysis code.
• Includes reproducible environment files (conda YAML) specifying software versions.
• Documentation is linked to a peer-reviewed paper's Methods section.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and specific data formats within the ZIP are unknown.

Provenance

Source

Yuanzhen Zhu via figshare

Collection Method

Likely generated as part of the research for the associated paper.

Time Range

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Freshness

Last updated 2026-04-14 12:58:07

Geography

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