Depth of Coverage by Genes for SARS-CoV-2 Samples from Long-Read Sequencing

A 9.6 KB Excel dataset published on figshare by Nakarin Pamornchainavakul on April 28, 2026. It contains depth of coverage metrics for genes of SARS-CoV-2 samples, generated as part of a benchmarking study for the QoALa viral quasispecies analysis workflow.

Use Cases

• Benchmarking error-correction methods for viral quasispecies analysis based on the described QoALa workflow.
• Analyzing intra- and inter-host diversity dynamics in SARS-CoV-2 based on the description of diversity dynamics.
• Identifying rare viral haplotypes from long-read sequencing data based on the mention of rare haplotype discovery.
• Comparing quasispecies composition across related samples based on the integrated visualization capabilities described.

Strengths

• Dataset is small (9.6 KB), facilitating quick download and inspection.
• Published under a permissive CC-BY-4.0 license, allowing reuse and modification.
• Associated with a peer-reviewed methodology (QoALa) benchmarked on simulated and real viral datasets.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset's scope is limited to a small file size (9.6 KB), suggesting a focused or summary-level view.

Provenance

Source

figshare

Collection Method

Likely derived from long-read sequencing data processed through the QoALa workflow.

Time Range

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Freshness

Last updated 2026-04-28 17:35:07; freshness should be verified.

Geography

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