XCR1 Window Counts and Sequence Depth for PBMC and Lung Macrophage Samples

Window counts and sequence depth measurements for the XCR1 gene across peripheral blood mononuclear cell (PBMC) and lung macrophage samples. The dataset includes values for individual samples with group averages and indicates the presence or absence of a specific HERV locus. Hyunmin Koo published this 13.2 KB Excel file on figshare in May 2026.

Use Cases

• Compare XCR1 sequence depth between PBMC and lung macrophage sample groups based on the provided averages.
• Identify samples with detectable HERV locus Chr3:46,046,256–46,054,342 based on the presence/absence indicator.
• Filter samples based on detection criteria (≥9 usable windows and read depth ≥3) mentioned in the description.

Strengths

• Data includes individual sample values and group averages, allowing for both granular and aggregated analysis.
• Detection criteria (≥9 usable windows, read depth ≥3) are explicitly defined, providing a clear quality threshold.
• Dataset is small (13.2 KB), facilitating quick download and initial inspection.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description is brief, lacking details on sample collection methodology or experimental design.

Provenance

Source

figshare

Freshness

Last updated 2026-05-19 17:23:08; freshness should be verified.