<p>Presence (“+”) or absence (“–”) of HERV loci across macrophage samples from non-COVID c

A 23.7 KB dataset by Hyunmin Koo, last updated on 2026-05-19, records the presence or absence of Human Endogenous Retrovirus (HERV) loci across macrophage samples. The data compares samples from non-COVID controls, tuberculosis (TB), and COVID-19 bronchoalveolar lavage (BAL) datasets. Detection was defined as having at least 9 usable windows and a read depth of 3 or greater.

Use Cases

• Compare HERV activation patterns between COVID-19, tuberculosis, and control groups based on the sample categories mentioned in the description.
• Identify HERV loci associated with specific disease states based on the binary presence/absence data.
• Validate detection thresholds for HERV expression based on the defined criteria of ≥9 usable windows and read depth ≥3.
• Perform differential analysis of HERV activity in macrophage samples from different respiratory disease contexts.

Strengths

• Data is licensed under CC-BY-4.0, allowing for open sharing and reuse.
• Detection criteria are explicitly defined as ≥9 usable windows and read depth ≥3, providing a clear quality threshold.
• The dataset is small (23.7 KB), facilitating quick download and initial exploration.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• 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

Detection likely from sequencing analysis of bronchoalveolar lavage (BAL) samples.

Freshness

Last updated 2026-05-19 17:23:07; freshness should be verified.