Table 2_Single-cell genomic profiling of antimicrobial resistance in Escherichia coli from

Runa Furuya's dataset contains single-cell genomic profiling results for Escherichia coli strains from the Densu River in Ghana, focusing on antimicrobial resistance (AMR) and virulence factors. The data includes pan-genome analysis predicting 4,814 gene clusters and phylogenetic analysis of single-cell amplified genomes (SAGs). It was uploaded to figshare on April 23, 2026, under a CC-BY-4.0 license.

Use Cases

• Analyzing differences in AMR and virulence factor profiles among Escherichia coli strains based on single-cell genomic data.
• Conducting pan-genome analysis based on the predicted 4,814 gene clusters, including 2,264 accessory genes.
• Building phylogenetic trees to study strain heterogeneity based on single-cell amplified genome (SAG) data.
• Investigating the functional diversity of bacterial strains based on cluster of orthologous gene (COG) analysis results.

Strengths

• Includes pan-genome analysis predicting 4,814 gene clusters, with 2,264 accessory and 605 singleton genes.
• Provides high-resolution single-cell genomic data from an aquatic environment in Ghana, a region where such data is described as limited.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• The dataset is very small at 115.6 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Runa Furuya via figshare.

Collection Method

Single-cell genomic analysis of Escherichia coli strains after antimicrobial selection from Densu River water samples.

Freshness

Last updated 2026-04-23 05:34:59; freshness should be verified.

Geography

Densu River, Ghana.