Mouse Liver Gene Expression Count Matrix for High-Running Performance Model

A 28.8 MB dataset containing a sample-by-gene count matrix and multiQC report from a gene expression analysis. The data was generated by author Frieder Hadlich and last updated on 2026-05-19. It focuses on the liver tissue of a mouse model that underwent long-term selection for high running performance.

Use Cases

• Differential expression analysis based on gene count data from selected mouse models.
• Pathway enrichment studies based on liver tissue gene expression profiles.
• Quality control assessment of RNA-seq data based on the included multiQC report.
• Comparative genomics research based on the high-running performance phenotype.

Strengths

• Data is openly licensed under CC-BY-4.0.
• Includes a multiQC report, which suggests quality control metrics are available.
• File size of 28.8 MB indicates a manageable download and processing scale.

Limitations

• Row and column counts are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Gene expression analysis (likely RNA-seq) of liver tissue.

Time Range

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Freshness

Last updated 2026-05-19 09:05:58; freshness should be verified.

Geography

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